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git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@363 d0cd1f9f-072b-0410-8dd7-cf729c803f20
1482 lines
49 KiB
C++
1482 lines
49 KiB
C++
/******************************************************************
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* File: docqual.cpp (Formerly docqual.c)
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* Description: Document Quality Metrics
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* Author: Phil Cheatle
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* Created: Mon May 9 11:27:28 BST 1994
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*
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* (C) Copyright 1994, Hewlett-Packard Ltd.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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**********************************************************************/
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#ifdef _MSC_VER
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#pragma warning(disable:4244) // Conversion warnings
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#endif
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#include "mfcpch.h"
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#include <ctype.h>
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#include "docqual.h"
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#include "tstruct.h"
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#include "tfacep.h"
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#include "reject.h"
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#include "tessvars.h"
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#include "genblob.h"
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#include "secname.h"
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#include "globals.h"
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#include "tesseractclass.h"
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#define EXTERN
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EXTERN STRING_VAR (outlines_odd, "%| ", "Non standard number of outlines");
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EXTERN STRING_VAR (outlines_2, "ij!?%\":;",
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"Non standard number of outlines");
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EXTERN BOOL_VAR (docqual_excuse_outline_errs, FALSE,
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"Allow outline errs in unrejection?");
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EXTERN BOOL_VAR (tessedit_good_quality_unrej, TRUE,
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"Reduce rejection on good docs");
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EXTERN BOOL_VAR (tessedit_use_reject_spaces, TRUE, "Reject spaces?");
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EXTERN double_VAR (tessedit_reject_doc_percent, 65.00,
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"%rej allowed before rej whole doc");
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EXTERN double_VAR (tessedit_reject_block_percent, 45.00,
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"%rej allowed before rej whole block");
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EXTERN double_VAR (tessedit_reject_row_percent, 40.00,
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"%rej allowed before rej whole row");
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EXTERN double_VAR (tessedit_whole_wd_rej_row_percent, 70.00,
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"%of row rejects in whole word rejects which prevents whole row rejection");
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EXTERN BOOL_VAR (tessedit_preserve_blk_rej_perfect_wds, TRUE,
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"Only rej partially rejected words in block rejection");
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EXTERN BOOL_VAR (tessedit_preserve_row_rej_perfect_wds, TRUE,
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"Only rej partially rejected words in row rejection");
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EXTERN BOOL_VAR (tessedit_dont_blkrej_good_wds, FALSE,
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"Use word segmentation quality metric");
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EXTERN BOOL_VAR (tessedit_dont_rowrej_good_wds, FALSE,
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"Use word segmentation quality metric");
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EXTERN INT_VAR (tessedit_preserve_min_wd_len, 2,
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"Only preserve wds longer than this");
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EXTERN BOOL_VAR (tessedit_row_rej_good_docs, TRUE,
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"Apply row rejection to good docs");
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EXTERN double_VAR (tessedit_good_doc_still_rowrej_wd, 1.1,
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"rej good doc wd if more than this fraction rejected");
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EXTERN BOOL_VAR (tessedit_reject_bad_qual_wds, TRUE,
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"Reject all bad quality wds");
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EXTERN BOOL_VAR (tessedit_debug_doc_rejection, FALSE, "Page stats");
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EXTERN BOOL_VAR (tessedit_debug_quality_metrics, FALSE,
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"Output data to debug file");
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EXTERN BOOL_VAR (bland_unrej, FALSE, "unrej potential with no chekcs");
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EXTERN double_VAR (quality_rowrej_pc, 1.1,
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"good_quality_doc gte good char limit");
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EXTERN BOOL_VAR (unlv_tilde_crunching, TRUE,
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"Mark v.bad words for tilde crunch");
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EXTERN BOOL_VAR (crunch_early_merge_tess_fails, TRUE, "Before word crunch?");
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EXTERN BOOL_EVAR (crunch_early_convert_bad_unlv_chs, FALSE,
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"Take out ~^ early?");
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EXTERN double_VAR (crunch_terrible_rating, 80.0, "crunch rating lt this");
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EXTERN BOOL_VAR (crunch_terrible_garbage, TRUE, "As it says");
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EXTERN double_VAR (crunch_poor_garbage_cert, -9.0,
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"crunch garbage cert lt this");
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EXTERN double_VAR (crunch_poor_garbage_rate, 60,
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"crunch garbage rating lt this");
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EXTERN double_VAR (crunch_pot_poor_rate, 40,
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"POTENTIAL crunch rating lt this");
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EXTERN double_VAR (crunch_pot_poor_cert, -8.0,
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"POTENTIAL crunch cert lt this");
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EXTERN BOOL_VAR (crunch_pot_garbage, TRUE, "POTENTIAL crunch garbage");
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EXTERN double_VAR (crunch_del_rating, 60, "POTENTIAL crunch rating lt this");
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EXTERN double_VAR (crunch_del_cert, -10.0, "POTENTIAL crunch cert lt this");
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EXTERN double_VAR (crunch_del_min_ht, 0.7, "Del if word ht lt xht x this");
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EXTERN double_VAR (crunch_del_max_ht, 3.0, "Del if word ht gt xht x this");
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EXTERN double_VAR (crunch_del_min_width, 3.0,
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"Del if word width lt xht x this");
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EXTERN double_VAR (crunch_del_high_word, 1.5,
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"Del if word gt xht x this above bl");
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EXTERN double_VAR (crunch_del_low_word, 0.5,
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"Del if word gt xht x this below bl");
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EXTERN double_VAR (crunch_small_outlines_size, 0.6, "Small if lt xht x this");
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EXTERN INT_VAR (crunch_rating_max, 10, "For adj length in rating per ch");
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EXTERN INT_VAR (crunch_pot_indicators, 1,
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"How many potential indicators needed");
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EXTERN BOOL_VAR (crunch_leave_ok_strings, TRUE,
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"Dont touch sensible strings");
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EXTERN BOOL_VAR (crunch_accept_ok, TRUE, "Use acceptability in okstring");
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EXTERN BOOL_VAR (crunch_leave_accept_strings, FALSE,
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"Dont pot crunch sensible strings");
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EXTERN BOOL_VAR (crunch_include_numerals, FALSE, "Fiddle alpha figures");
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EXTERN INT_VAR (crunch_leave_lc_strings, 4,
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"Dont crunch words with long lower case strings");
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EXTERN INT_VAR (crunch_leave_uc_strings, 4,
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"Dont crunch words with long lower case strings");
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EXTERN INT_VAR (crunch_long_repetitions, 3,
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"Crunch words with long repetitions");
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EXTERN INT_VAR (crunch_debug, 0, "As it says");
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/*************************************************************************
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* word_blob_quality()
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* How many blobs in the outword are identical to those of the inword?
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* ASSUME blobs in both initial word and outword are in ascending order of
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* left hand blob edge.
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*************************************************************************/
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inT16 word_blob_quality( //Blob seg changes
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WERD_RES *word,
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ROW *row) {
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WERD *bln_word; //BL norm init word
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TWERD *tessword; //tess format
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WERD *init_word; //BL norm init word
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PBLOB_IT outword_it;
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PBLOB_IT initial_it;
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inT16 i;
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inT16 init_blobs_left;
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inT16 match_count = 0;
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BOOL8 matched;
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TBOX out_box;
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PBLOB *test_blob;
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DENORM denorm;
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float bln_xht;
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if (word->word->gblob_list ()->empty ())
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return 0;
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//xht used for blnorm
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bln_xht = bln_x_height / word->denorm.scale ();
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bln_word = make_bln_copy(word->word, row, NULL, bln_xht, &denorm);
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/*
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NOTE: Need to convert to tess format and back again to ensure that the
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same float -> int rounding of coords is done to source wd as out wd before
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comparison
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*/
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tessword = make_tess_word(bln_word, NULL); // Convert word.
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init_word = make_ed_word(tessword, bln_word);
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delete bln_word;
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delete_word(tessword);
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if (init_word == NULL) {
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// Conversion failed.
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return 0;
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}
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initial_it.set_to_list(init_word->blob_list());
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init_blobs_left = initial_it.length();
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outword_it.set_to_list(word->outword->blob_list());
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for (outword_it.mark_cycle_pt();
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!outword_it.cycled_list(); outword_it.forward()) {
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out_box = outword_it.data()->bounding_box();
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// Skip any initial blobs LEFT of current outword blob.
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while (!initial_it.at_last() &&
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(initial_it.data()->bounding_box().left() < out_box.left())) {
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initial_it.forward();
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init_blobs_left--;
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}
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/* See if current outword blob matches any initial blob with the same left
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coord. (Normally only one but possibly more - in unknown order) */
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i = 0;
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matched = FALSE;
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do {
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test_blob = initial_it.data_relative (i++);
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matched = crude_match_blobs (test_blob, outword_it.data ());
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if (matched)
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match_count++;
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}
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while (!matched &&
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(init_blobs_left - i > 0) &&
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(i < 129) &&
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!initial_it.at_last() &&
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test_blob->bounding_box().left() == out_box.left());
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}
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delete init_word;
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return match_count;
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}
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/*************************************************************************
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* crude_match_blobs()
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* Check bounding boxes are the same and the number of outlines are the same.
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*************************************************************************/
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BOOL8 crude_match_blobs(PBLOB *blob1, PBLOB *blob2) {
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TBOX box1 = blob1->bounding_box();
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TBOX box2 = blob2->bounding_box();
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if (box1.contains(box2) &&
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box2.contains(box1) &&
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(blob1->out_list()->length() == blob1->out_list()->length()))
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return TRUE;
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else
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return FALSE;
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}
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inT16 word_outline_errs(WERD_RES *word) {
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PBLOB_IT outword_it;
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inT16 i = 0;
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inT16 err_count = 0;
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outword_it.set_to_list(word->outword->blob_list());
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for (outword_it.mark_cycle_pt();
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!outword_it.cycled_list(); outword_it.forward()) {
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err_count += count_outline_errs(word->best_choice->unichar_string()[i],
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outword_it.data()->out_list()->length());
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i++;
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}
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return err_count;
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}
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/*************************************************************************
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* word_char_quality()
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* Combination of blob quality and outline quality - how many good chars are
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* there? - I.e chars which pass the blob AND outline tests.
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*************************************************************************/
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void word_char_quality(WERD_RES *word,
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ROW *row,
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inT16 *match_count,
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inT16 *accepted_match_count) {
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WERD *bln_word; // BL norm init word
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TWERD *tessword; // tess format
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WERD *init_word; // BL norm init word
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PBLOB_IT outword_it;
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PBLOB_IT initial_it;
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inT16 i;
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inT16 init_blobs_left;
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BOOL8 matched;
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TBOX out_box;
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PBLOB *test_blob;
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DENORM denorm;
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float bln_xht;
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inT16 j = 0;
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*match_count = 0;
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*accepted_match_count = 0;
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if (word->word->gblob_list ()->empty ())
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return;
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// xht used for blnorm
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bln_xht = bln_x_height / word->denorm.scale();
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bln_word = make_bln_copy(word->word, row, NULL, bln_xht, &denorm);
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/*
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NOTE: Need to convert to tess format and back again to ensure that the
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same float -> int rounding of coords is done to source wd as out wd before
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comparison
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*/
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tessword = make_tess_word(bln_word, NULL); // Convert word.
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init_word = make_ed_word(tessword, bln_word);
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delete bln_word;
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delete_word(tessword);
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if (init_word == NULL)
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return;
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initial_it.set_to_list(init_word->blob_list());
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init_blobs_left = initial_it.length();
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outword_it.set_to_list(word->outword->blob_list());
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for (outword_it.mark_cycle_pt();
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!outword_it.cycled_list(); outword_it.forward()) {
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out_box = outword_it.data()->bounding_box();
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/* Skip any initial blobs LEFT of current outword blob */
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while (!initial_it.at_last() &&
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(initial_it.data()->bounding_box().left() < out_box.left())) {
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initial_it.forward();
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init_blobs_left--;
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}
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/* See if current outword blob matches any initial blob with the same left
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coord. (Normally only one but possibly more - in unknown order) */
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i = 0;
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matched = FALSE;
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do {
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test_blob = initial_it.data_relative(i++);
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matched = crude_match_blobs(test_blob, outword_it.data());
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if (matched &&
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(count_outline_errs (word->best_choice->unichar_string()[j],
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outword_it.data ()->out_list ()->length ())
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== 0)) {
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(*match_count)++;
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if (word->reject_map[j].accepted ())
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(*accepted_match_count)++;
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}
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}
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while (!matched &&
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(init_blobs_left - i > 0) &&
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(i < 129) &&
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!initial_it.at_last() &&
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test_blob->bounding_box().left() == out_box.left());
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j++;
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}
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delete init_word;
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}
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/*************************************************************************
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* unrej_good_chs()
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* Unreject POTENTIAL rejects if the blob passes the blob and outline checks
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*************************************************************************/
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void unrej_good_chs(WERD_RES *word, ROW *row) {
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WERD *bln_word; // BL norm init word
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TWERD *tessword; // tess format
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WERD *init_word; // BL norm init word
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PBLOB_IT outword_it;
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PBLOB_IT initial_it;
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inT16 i;
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inT16 init_blobs_left;
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BOOL8 matched;
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TBOX out_box;
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PBLOB *test_blob;
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DENORM denorm;
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float bln_xht;
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inT16 j = 0;
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if (word->word->gblob_list ()->empty ())
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return;
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// xht used for blnorm
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bln_xht = bln_x_height / word->denorm.scale ();
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bln_word = make_bln_copy(word->word, row, NULL, bln_xht, &denorm);
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/*
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NOTE: Need to convert to tess format and back again to ensure that the
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same float -> int rounding of coords is done to source wd as out wd before
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comparison
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*/
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tessword = make_tess_word(bln_word, NULL); // Convert word
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init_word = make_ed_word(tessword, bln_word);
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delete bln_word;
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delete_word(tessword);
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if (init_word == NULL)
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return;
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initial_it.set_to_list (init_word->blob_list ());
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init_blobs_left = initial_it.length ();
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outword_it.set_to_list (word->outword->blob_list ());
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for (outword_it.mark_cycle_pt ();
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!outword_it.cycled_list (); outword_it.forward ()) {
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out_box = outword_it.data ()->bounding_box ();
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/* Skip any initial blobs LEFT of current outword blob */
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while (!initial_it.at_last () &&
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(initial_it.data ()->bounding_box ().left () < out_box.left ())) {
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initial_it.forward ();
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init_blobs_left--;
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}
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/* See if current outword blob matches any initial blob with the same left
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coord. (Normally only one but possibly more - in unknown order) */
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i = 0;
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matched = FALSE;
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do {
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test_blob = initial_it.data_relative (i++);
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matched = crude_match_blobs (test_blob, outword_it.data ());
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if (matched &&
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(word->reject_map[j].accept_if_good_quality ()) &&
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(docqual_excuse_outline_errs ||
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(count_outline_errs (word->best_choice->unichar_string()[j],
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outword_it.data ()->out_list ()->
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length ()) == 0)))
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word->reject_map[j].setrej_quality_accept ();
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}
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while (!matched &&
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(init_blobs_left - i > 0) &&
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(i < 129) &&
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!initial_it.at_last () &&
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test_blob->bounding_box ().left () == out_box.left ());
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j++;
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}
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delete init_word;
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}
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void print_boxes(WERD *word) {
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PBLOB_IT it;
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TBOX box;
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it.set_to_list (word->blob_list ());
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for (it.mark_cycle_pt (); !it.cycled_list (); it.forward ()) {
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box = it.data ()->bounding_box ();
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box.print ();
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}
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}
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inT16 count_outline_errs(char c, inT16 outline_count) {
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int expected_outline_count;
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if (STRING (outlines_odd).contains (c))
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return 0; //Dont use this char
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else if (STRING (outlines_2).contains (c))
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expected_outline_count = 2;
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else
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expected_outline_count = 1;
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return abs (outline_count - expected_outline_count);
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}
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namespace tesseract {
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void Tesseract::quality_based_rejection(PAGE_RES_IT &page_res_it,
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BOOL8 good_quality_doc) {
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if ((tessedit_good_quality_unrej && good_quality_doc))
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unrej_good_quality_words(page_res_it);
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doc_and_block_rejection(page_res_it, good_quality_doc);
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page_res_it.restart_page ();
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while (page_res_it.word () != NULL) {
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insert_rej_cblobs(page_res_it.word());
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page_res_it.forward();
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}
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if (unlv_tilde_crunching) {
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tilde_crunch(page_res_it);
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tilde_delete(page_res_it);
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}
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}
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/*************************************************************************
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* unrej_good_quality_words()
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* Accept potential rejects in words which pass the following checks:
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* - Contains a potential reject
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* - Word looks like a sensible alpha word.
|
|
* - Word segmentation is the same as the original image
|
|
* - All characters have the expected number of outlines
|
|
* NOTE - the rejection counts are recalculated after unrejection
|
|
* - CANT do it in a single pass without a bit of fiddling
|
|
* - keep it simple but inefficient
|
|
*************************************************************************/
|
|
void Tesseract::unrej_good_quality_words( //unreject potential
|
|
PAGE_RES_IT &page_res_it) {
|
|
WERD_RES *word;
|
|
ROW_RES *current_row;
|
|
BLOCK_RES *current_block;
|
|
int i;
|
|
|
|
page_res_it.restart_page ();
|
|
while (page_res_it.word () != NULL) {
|
|
check_debug_pt (page_res_it.word (), 100);
|
|
if (bland_unrej) {
|
|
word = page_res_it.word ();
|
|
for (i = 0; i < word->reject_map.length (); i++) {
|
|
if (word->reject_map[i].accept_if_good_quality ())
|
|
word->reject_map[i].setrej_quality_accept ();
|
|
}
|
|
page_res_it.forward ();
|
|
}
|
|
else if ((page_res_it.row ()->char_count > 0) &&
|
|
((page_res_it.row ()->rej_count /
|
|
(float) page_res_it.row ()->char_count) <=
|
|
quality_rowrej_pc)) {
|
|
word = page_res_it.word ();
|
|
if (word->reject_map.quality_recoverable_rejects () &&
|
|
(tessedit_unrej_any_wd ||
|
|
acceptable_word_string (word->best_choice->unichar_string().string(),
|
|
word->best_choice->unichar_lengths().string())
|
|
!= AC_UNACCEPTABLE)) {
|
|
unrej_good_chs (word, page_res_it.row ()->row);
|
|
}
|
|
page_res_it.forward ();
|
|
}
|
|
else {
|
|
/* Skip to end of dodgy row */
|
|
current_row = page_res_it.row ();
|
|
while ((page_res_it.word () != NULL) &&
|
|
(page_res_it.row () == current_row))
|
|
page_res_it.forward ();
|
|
}
|
|
check_debug_pt (page_res_it.word (), 110);
|
|
}
|
|
page_res_it.restart_page ();
|
|
page_res_it.page_res->char_count = 0;
|
|
page_res_it.page_res->rej_count = 0;
|
|
current_block = NULL;
|
|
current_row = NULL;
|
|
while (page_res_it.word () != NULL) {
|
|
if (current_block != page_res_it.block ()) {
|
|
current_block = page_res_it.block ();
|
|
current_block->char_count = 0;
|
|
current_block->rej_count = 0;
|
|
}
|
|
if (current_row != page_res_it.row ()) {
|
|
current_row = page_res_it.row ();
|
|
current_row->char_count = 0;
|
|
current_row->rej_count = 0;
|
|
current_row->whole_word_rej_count = 0;
|
|
}
|
|
page_res_it.rej_stat_word ();
|
|
page_res_it.forward ();
|
|
}
|
|
}
|
|
|
|
|
|
/*************************************************************************
|
|
* doc_and_block_rejection()
|
|
*
|
|
* If the page has too many rejects - reject all of it.
|
|
* If any block has too many rejects - reject all words in the block
|
|
*************************************************************************/
|
|
|
|
void Tesseract::doc_and_block_rejection( //reject big chunks
|
|
PAGE_RES_IT &page_res_it,
|
|
BOOL8 good_quality_doc) {
|
|
inT16 block_no = 0;
|
|
inT16 row_no = 0;
|
|
BLOCK_RES *current_block;
|
|
ROW_RES *current_row;
|
|
|
|
BOOL8 rej_word;
|
|
BOOL8 prev_word_rejected;
|
|
inT16 char_quality;
|
|
inT16 accepted_char_quality;
|
|
|
|
if ((page_res_it.page_res->rej_count * 100.0 /
|
|
page_res_it.page_res->char_count) > tessedit_reject_doc_percent) {
|
|
reject_whole_page(page_res_it);
|
|
#ifndef SECURE_NAMES
|
|
if (tessedit_debug_doc_rejection) {
|
|
tprintf ("REJECT ALL #chars: %d #Rejects: %d; \n",
|
|
page_res_it.page_res->char_count,
|
|
page_res_it.page_res->rej_count);
|
|
}
|
|
#endif
|
|
}
|
|
else {
|
|
#ifndef SECURE_NAMES
|
|
if (tessedit_debug_doc_rejection)
|
|
tprintf ("NO PAGE REJECTION #chars: %d # Rejects: %d; \n",
|
|
page_res_it.page_res->char_count,
|
|
page_res_it.page_res->rej_count);
|
|
#endif
|
|
|
|
/* Walk blocks testing for block rejection */
|
|
|
|
page_res_it.restart_page ();
|
|
while (page_res_it.word () != NULL) {
|
|
current_block = page_res_it.block();
|
|
block_no = current_block->block->index();
|
|
if ((page_res_it.block ()->char_count > 0) &&
|
|
((page_res_it.block ()->rej_count * 100.0 /
|
|
page_res_it.block ()->char_count) >
|
|
tessedit_reject_block_percent)) {
|
|
#ifndef SECURE_NAMES
|
|
if (tessedit_debug_block_rejection)
|
|
tprintf ("REJECTING BLOCK %d #chars: %d; #Rejects: %d\n",
|
|
block_no,
|
|
page_res_it.block ()->char_count,
|
|
page_res_it.block ()->rej_count);
|
|
#endif
|
|
prev_word_rejected = FALSE;
|
|
while ((page_res_it.word () != NULL) &&
|
|
(page_res_it.block () == current_block)) {
|
|
if (tessedit_preserve_blk_rej_perfect_wds) {
|
|
rej_word =
|
|
(page_res_it.word ()->reject_map.reject_count () > 0)
|
|
|| (page_res_it.word ()->reject_map.length () <
|
|
tessedit_preserve_min_wd_len);
|
|
if (rej_word && tessedit_dont_blkrej_good_wds
|
|
&& !(page_res_it.word ()->reject_map.length () <
|
|
tessedit_preserve_min_wd_len)
|
|
&&
|
|
(acceptable_word_string
|
|
(page_res_it.word()->best_choice->unichar_string().string(),
|
|
page_res_it.word ()->best_choice->unichar_lengths().string()) !=
|
|
AC_UNACCEPTABLE)) {
|
|
word_char_quality (page_res_it.word (),
|
|
page_res_it.row ()->row,
|
|
&char_quality,
|
|
&accepted_char_quality);
|
|
rej_word = char_quality !=
|
|
page_res_it.word ()->reject_map.length ();
|
|
}
|
|
}
|
|
else
|
|
rej_word = TRUE;
|
|
if (rej_word) {
|
|
/*
|
|
Reject spacing if both current and prev words are rejected.
|
|
NOTE - this is NOT restricted to FUZZY spaces. - When tried this
|
|
generated more space errors.
|
|
*/
|
|
if (tessedit_use_reject_spaces &&
|
|
prev_word_rejected &&
|
|
(page_res_it.prev_row () == page_res_it.row ()) &&
|
|
(page_res_it.word ()->word->space () == 1))
|
|
page_res_it.word ()->reject_spaces = TRUE;
|
|
page_res_it.word ()->reject_map.rej_word_block_rej ();
|
|
}
|
|
prev_word_rejected = rej_word;
|
|
page_res_it.forward ();
|
|
}
|
|
}
|
|
else {
|
|
#ifndef SECURE_NAMES
|
|
if (tessedit_debug_block_rejection)
|
|
tprintf
|
|
("NOT REJECTING BLOCK %d #chars: %d # Rejects: %d; \n",
|
|
block_no, page_res_it.block ()->char_count,
|
|
page_res_it.block ()->rej_count);
|
|
#endif
|
|
|
|
/* Walk rows in block testing for row rejection */
|
|
row_no = 0;
|
|
while ((page_res_it.word () != NULL) &&
|
|
(page_res_it.block () == current_block)) {
|
|
current_row = page_res_it.row ();
|
|
row_no++;
|
|
/* Reject whole row if:
|
|
fraction of chars on row which are rejected exceed a limit AND
|
|
fraction rejects which occur in WHOLE WERD rejects is LESS THAN a
|
|
limit
|
|
*/
|
|
if ((page_res_it.row ()->char_count > 0) &&
|
|
((page_res_it.row ()->rej_count * 100.0 /
|
|
page_res_it.row ()->char_count) >
|
|
tessedit_reject_row_percent) &&
|
|
((page_res_it.row ()->whole_word_rej_count * 100.0 /
|
|
page_res_it.row ()->rej_count) <
|
|
tessedit_whole_wd_rej_row_percent)) {
|
|
#ifndef SECURE_NAMES
|
|
if (tessedit_debug_block_rejection)
|
|
tprintf
|
|
("REJECTING ROW %d #chars: %d; #Rejects: %d\n",
|
|
row_no, page_res_it.row ()->char_count,
|
|
page_res_it.row ()->rej_count);
|
|
#endif
|
|
prev_word_rejected = FALSE;
|
|
while ((page_res_it.word () != NULL) &&
|
|
(page_res_it.row () == current_row)) {
|
|
/* Preserve words on good docs unless they are mostly rejected*/
|
|
if (!tessedit_row_rej_good_docs && good_quality_doc) {
|
|
rej_word =
|
|
page_res_it.word ()->reject_map.
|
|
reject_count () /
|
|
(float) page_res_it.word ()->reject_map.
|
|
length () > tessedit_good_doc_still_rowrej_wd;
|
|
}
|
|
|
|
/* Preserve perfect words anyway */
|
|
else if (tessedit_preserve_row_rej_perfect_wds) {
|
|
rej_word =
|
|
(page_res_it.word ()->reject_map.
|
|
reject_count () > 0)
|
|
|| (page_res_it.word ()->reject_map.
|
|
length () < tessedit_preserve_min_wd_len);
|
|
if (rej_word && tessedit_dont_rowrej_good_wds
|
|
&& !(page_res_it.word ()->reject_map.
|
|
length () <
|
|
tessedit_preserve_min_wd_len)
|
|
&&
|
|
(acceptable_word_string
|
|
(page_res_it.word ()->best_choice->
|
|
unichar_string().string(),
|
|
page_res_it.word ()->best_choice->
|
|
unichar_lengths().string()) != AC_UNACCEPTABLE)) {
|
|
word_char_quality (page_res_it.word (),
|
|
page_res_it.row ()->row,
|
|
&char_quality,
|
|
&accepted_char_quality);
|
|
rej_word = char_quality !=
|
|
page_res_it.word ()->reject_map.length ();
|
|
}
|
|
}
|
|
else
|
|
rej_word = TRUE;
|
|
if (rej_word) {
|
|
/*
|
|
Reject spacing if both current and prev words are rejected.
|
|
NOTE - this is NOT restricted to FUZZY spaces. - When tried
|
|
this generated more space errors.
|
|
*/
|
|
if (tessedit_use_reject_spaces &&
|
|
prev_word_rejected &&
|
|
(page_res_it.prev_row () ==
|
|
page_res_it.row ())
|
|
&& (page_res_it.word ()->word->space () ==
|
|
1))
|
|
page_res_it.word ()->reject_spaces = TRUE;
|
|
page_res_it.word ()->reject_map.
|
|
rej_word_row_rej();
|
|
}
|
|
prev_word_rejected = rej_word;
|
|
page_res_it.forward ();
|
|
}
|
|
}
|
|
else {
|
|
#ifndef SECURE_NAMES
|
|
if (tessedit_debug_block_rejection)
|
|
tprintf
|
|
("NOT REJECTING ROW %d #chars: %d # Rejects: %d; \n",
|
|
row_no, page_res_it.row ()->char_count,
|
|
page_res_it.row ()->rej_count);
|
|
#endif
|
|
while ((page_res_it.word () != NULL) &&
|
|
(page_res_it.row () == current_row))
|
|
page_res_it.forward ();
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
} // namespace tesseract
|
|
|
|
|
|
/*************************************************************************
|
|
* reject_whole_page()
|
|
* Dont believe any of it - set the reject map to 00..00 in all words
|
|
*
|
|
*************************************************************************/
|
|
|
|
void reject_whole_page(PAGE_RES_IT &page_res_it) {
|
|
page_res_it.restart_page ();
|
|
while (page_res_it.word () != NULL) {
|
|
page_res_it.word ()->reject_map.rej_word_doc_rej ();
|
|
page_res_it.forward ();
|
|
}
|
|
//whole page is rejected
|
|
page_res_it.page_res->rejected = TRUE;
|
|
}
|
|
|
|
namespace tesseract {
|
|
void Tesseract::tilde_crunch(PAGE_RES_IT &page_res_it) {
|
|
WERD_RES *word;
|
|
GARBAGE_LEVEL garbage_level;
|
|
PAGE_RES_IT copy_it;
|
|
BOOL8 prev_potential_marked = FALSE;
|
|
BOOL8 found_terrible_word = FALSE;
|
|
BOOL8 ok_dict_word;
|
|
|
|
page_res_it.restart_page ();
|
|
while (page_res_it.word () != NULL) {
|
|
word = page_res_it.word ();
|
|
|
|
if (crunch_early_convert_bad_unlv_chs)
|
|
convert_bad_unlv_chs(word);
|
|
|
|
if (crunch_early_merge_tess_fails)
|
|
merge_tess_fails(word);
|
|
|
|
if (word->reject_map.accept_count () != 0) {
|
|
found_terrible_word = FALSE;
|
|
//Forget earlier potential crunches
|
|
prev_potential_marked = FALSE;
|
|
}
|
|
else {
|
|
ok_dict_word = safe_dict_word(*(word->best_choice));
|
|
garbage_level = garbage_word (word, ok_dict_word);
|
|
|
|
if ((garbage_level != G_NEVER_CRUNCH) &&
|
|
(terrible_word_crunch (word, garbage_level))) {
|
|
if (crunch_debug > 0) {
|
|
tprintf ("T CRUNCHING: \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
word->unlv_crunch_mode = CR_KEEP_SPACE;
|
|
if (prev_potential_marked) {
|
|
while (copy_it.word () != word) {
|
|
if (crunch_debug > 0) {
|
|
tprintf ("P1 CRUNCHING: \"%s\"\n",
|
|
copy_it.word()->best_choice->unichar_string().string());
|
|
}
|
|
copy_it.word ()->unlv_crunch_mode = CR_KEEP_SPACE;
|
|
copy_it.forward ();
|
|
}
|
|
prev_potential_marked = FALSE;
|
|
}
|
|
found_terrible_word = TRUE;
|
|
}
|
|
else if ((garbage_level != G_NEVER_CRUNCH) &&
|
|
(potential_word_crunch (word,
|
|
garbage_level, ok_dict_word))) {
|
|
if (found_terrible_word) {
|
|
if (crunch_debug > 0) {
|
|
tprintf ("P2 CRUNCHING: \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
word->unlv_crunch_mode = CR_KEEP_SPACE;
|
|
}
|
|
else if (!prev_potential_marked) {
|
|
copy_it = page_res_it;
|
|
prev_potential_marked = TRUE;
|
|
if (crunch_debug > 1) {
|
|
tprintf ("P3 CRUNCHING: \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
found_terrible_word = FALSE;
|
|
//Forget earlier potential crunches
|
|
prev_potential_marked = FALSE;
|
|
if (crunch_debug > 2) {
|
|
tprintf ("NO CRUNCH: \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
}
|
|
}
|
|
page_res_it.forward ();
|
|
}
|
|
}
|
|
} // namespace tesseract
|
|
|
|
|
|
BOOL8 terrible_word_crunch(WERD_RES *word, GARBAGE_LEVEL garbage_level) {
|
|
float rating_per_ch;
|
|
int adjusted_len;
|
|
int crunch_mode = 0;
|
|
|
|
if ((word->best_choice->unichar_string().length () == 0) ||
|
|
(strspn (word->best_choice->unichar_string().string(), " ") ==
|
|
word->best_choice->unichar_string().length ()))
|
|
crunch_mode = 1;
|
|
else {
|
|
adjusted_len = word->reject_map.length ();
|
|
if (adjusted_len > crunch_rating_max)
|
|
adjusted_len = crunch_rating_max;
|
|
rating_per_ch = word->best_choice->rating () / adjusted_len;
|
|
|
|
if (rating_per_ch > crunch_terrible_rating)
|
|
crunch_mode = 2;
|
|
else if (crunch_terrible_garbage && (garbage_level == G_TERRIBLE))
|
|
crunch_mode = 3;
|
|
else if ((word->best_choice->certainty () < crunch_poor_garbage_cert) &&
|
|
(garbage_level != G_OK))
|
|
crunch_mode = 4;
|
|
else if ((rating_per_ch > crunch_poor_garbage_rate) &&
|
|
(garbage_level != G_OK))
|
|
crunch_mode = 5;
|
|
}
|
|
if (crunch_mode > 0) {
|
|
if (crunch_debug > 2) {
|
|
tprintf ("Terrible_word_crunch (%d) on \"%s\"\n",
|
|
crunch_mode, word->best_choice->unichar_string().string());
|
|
}
|
|
return TRUE;
|
|
}
|
|
else
|
|
return FALSE;
|
|
}
|
|
|
|
namespace tesseract {
|
|
BOOL8 Tesseract::potential_word_crunch(WERD_RES *word,
|
|
GARBAGE_LEVEL garbage_level,
|
|
BOOL8 ok_dict_word) {
|
|
float rating_per_ch;
|
|
int adjusted_len;
|
|
const char *str = word->best_choice->unichar_string().string();
|
|
const char *lengths = word->best_choice->unichar_lengths().string();
|
|
BOOL8 word_crunchable;
|
|
int poor_indicator_count = 0;
|
|
|
|
word_crunchable =
|
|
!crunch_leave_accept_strings ||
|
|
(word->reject_map.length () < 3) ||
|
|
((acceptable_word_string (str, lengths) == AC_UNACCEPTABLE) &&
|
|
!ok_dict_word);
|
|
|
|
adjusted_len = word->reject_map.length ();
|
|
if (adjusted_len > 10)
|
|
adjusted_len = 10;
|
|
rating_per_ch = word->best_choice->rating () / adjusted_len;
|
|
|
|
if (rating_per_ch > crunch_pot_poor_rate) {
|
|
if (crunch_debug > 2) {
|
|
tprintf ("Potential poor rating on \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
poor_indicator_count++;
|
|
}
|
|
|
|
if (word_crunchable &&
|
|
(word->best_choice->certainty () < crunch_pot_poor_cert)) {
|
|
if (crunch_debug > 2) {
|
|
tprintf ("Potential poor cert on \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
poor_indicator_count++;
|
|
}
|
|
|
|
if (garbage_level != G_OK) {
|
|
if (crunch_debug > 2) {
|
|
tprintf ("Potential garbage on \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
poor_indicator_count++;
|
|
}
|
|
return (poor_indicator_count >= crunch_pot_indicators);
|
|
}
|
|
} // namespace tesseract
|
|
|
|
|
|
namespace tesseract {
|
|
void Tesseract::tilde_delete(PAGE_RES_IT &page_res_it) {
|
|
WERD_RES *word;
|
|
PAGE_RES_IT copy_it;
|
|
BOOL8 deleting_from_bol = FALSE;
|
|
BOOL8 marked_delete_point = FALSE;
|
|
inT16 debug_delete_mode;
|
|
CRUNCH_MODE delete_mode;
|
|
inT16 x_debug_delete_mode;
|
|
CRUNCH_MODE x_delete_mode;
|
|
|
|
page_res_it.restart_page ();
|
|
while (page_res_it.word () != NULL) {
|
|
word = page_res_it.word ();
|
|
|
|
delete_mode = word_deletable (word, debug_delete_mode);
|
|
if (delete_mode != CR_NONE) {
|
|
if (word->word->flag (W_BOL) || deleting_from_bol) {
|
|
if (crunch_debug > 0) {
|
|
tprintf ("BOL CRUNCH DELETING(%d): \"%s\"\n",
|
|
debug_delete_mode,
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
word->unlv_crunch_mode = delete_mode;
|
|
deleting_from_bol = TRUE;
|
|
}
|
|
else if (word->word->flag (W_EOL)) {
|
|
if (marked_delete_point) {
|
|
while (copy_it.word () != word) {
|
|
x_delete_mode = word_deletable (copy_it.word (),
|
|
x_debug_delete_mode);
|
|
if (crunch_debug > 0) {
|
|
tprintf ("EOL CRUNCH DELETING(%d): \"%s\"\n",
|
|
x_debug_delete_mode,
|
|
copy_it.word()->best_choice->unichar_string().string());
|
|
}
|
|
copy_it.word ()->unlv_crunch_mode = x_delete_mode;
|
|
copy_it.forward ();
|
|
}
|
|
}
|
|
if (crunch_debug > 0) {
|
|
tprintf ("EOL CRUNCH DELETING(%d): \"%s\"\n",
|
|
debug_delete_mode,
|
|
word->best_choice->unichar_string().string());
|
|
}
|
|
word->unlv_crunch_mode = delete_mode;
|
|
deleting_from_bol = FALSE;
|
|
marked_delete_point = FALSE;
|
|
}
|
|
else {
|
|
if (!marked_delete_point) {
|
|
copy_it = page_res_it;
|
|
marked_delete_point = TRUE;
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
deleting_from_bol = FALSE;
|
|
//Forget earlier potential crunches
|
|
marked_delete_point = FALSE;
|
|
}
|
|
/*
|
|
The following step has been left till now as the tess fails are used to
|
|
determine if the word is deletable.
|
|
*/
|
|
if (!crunch_early_merge_tess_fails)
|
|
merge_tess_fails(word);
|
|
page_res_it.forward ();
|
|
}
|
|
}
|
|
|
|
|
|
void Tesseract::convert_bad_unlv_chs(WERD_RES *word_res) {
|
|
int i;
|
|
UNICHAR_ID unichar_dash = unicharset.unichar_to_id("-");
|
|
UNICHAR_ID unichar_space = unicharset.unichar_to_id(" ");
|
|
UNICHAR_ID unichar_tilde = unicharset.unichar_to_id("~");
|
|
UNICHAR_ID unichar_pow = unicharset.unichar_to_id("^");
|
|
bool modified = false;
|
|
for (i = 0; i < word_res->reject_map.length(); ++i) {
|
|
if (word_res->best_choice->unichar_id(i) == unichar_tilde) {
|
|
word_res->best_choice->set_unichar_id(unichar_dash, i);
|
|
modified = true;
|
|
if (word_res->reject_map[i].accepted ())
|
|
word_res->reject_map[i].setrej_unlv_rej ();
|
|
}
|
|
if (word_res->best_choice->unichar_id(i) == unichar_pow) {
|
|
word_res->best_choice->set_unichar_id(unichar_space, i);
|
|
modified = true;
|
|
if (word_res->reject_map[i].accepted ())
|
|
word_res->reject_map[i].setrej_unlv_rej ();
|
|
}
|
|
}
|
|
if (modified) {
|
|
word_res->best_choice->populate_unichars(unicharset);
|
|
}
|
|
}
|
|
|
|
// Change pairs of tess failures to a single one
|
|
void Tesseract::merge_tess_fails(WERD_RES *word_res) {
|
|
PBLOB_IT blob_it; //blobs
|
|
int len = word_res->best_choice->length();
|
|
bool modified = false;
|
|
|
|
ASSERT_HOST (word_res->reject_map.length () == len);
|
|
ASSERT_HOST (word_res->outword->blob_list ()->length () == len);
|
|
|
|
UNICHAR_ID unichar_space = unicharset.unichar_to_id(" ");
|
|
blob_it = word_res->outword->blob_list ();
|
|
int i = 0;
|
|
while (i < word_res->best_choice->length()-1) {
|
|
if ((word_res->best_choice->unichar_id(i) == unichar_space) &&
|
|
(word_res->best_choice->unichar_id(i+1) == unichar_space)) {
|
|
modified = true;
|
|
word_res->best_choice->remove_unichar_id(i);
|
|
word_res->reject_map.remove_pos (i);
|
|
merge_blobs (blob_it.data_relative (1), blob_it.data ());
|
|
delete blob_it.extract (); //get rid of spare
|
|
} else {
|
|
i++;
|
|
}
|
|
blob_it.forward ();
|
|
}
|
|
len = word_res->best_choice->length();
|
|
ASSERT_HOST (word_res->reject_map.length () == len);
|
|
ASSERT_HOST (word_res->outword->blob_list ()->length () == len);
|
|
if (modified) {
|
|
word_res->best_choice->populate_unichars(unicharset);
|
|
}
|
|
}
|
|
|
|
GARBAGE_LEVEL Tesseract::garbage_word(WERD_RES *word, BOOL8 ok_dict_word) {
|
|
enum STATES
|
|
{
|
|
JUNK,
|
|
FIRST_UPPER,
|
|
FIRST_LOWER,
|
|
FIRST_NUM,
|
|
SUBSEQUENT_UPPER,
|
|
SUBSEQUENT_LOWER,
|
|
SUBSEQUENT_NUM
|
|
};
|
|
const char *str = word->best_choice->unichar_string().string();
|
|
const char *lengths = word->best_choice->unichar_lengths().string();
|
|
STATES state = JUNK;
|
|
int len = 0;
|
|
int isolated_digits = 0;
|
|
int isolated_alphas = 0;
|
|
int bad_char_count = 0;
|
|
int tess_rejs = 0;
|
|
int dodgy_chars = 0;
|
|
int ok_chars;
|
|
UNICHAR_ID last_char = -1;
|
|
int alpha_repetition_count = 0;
|
|
int longest_alpha_repetition_count = 0;
|
|
int longest_lower_run_len = 0;
|
|
int lower_string_count = 0;
|
|
int longest_upper_run_len = 0;
|
|
int upper_string_count = 0;
|
|
int total_alpha_count = 0;
|
|
int total_digit_count = 0;
|
|
|
|
for (; *str != '\0'; str += *(lengths++)) {
|
|
len++;
|
|
if (unicharset.get_isupper (str, *lengths)) {
|
|
total_alpha_count++;
|
|
switch (state) {
|
|
case SUBSEQUENT_UPPER:
|
|
case FIRST_UPPER:
|
|
state = SUBSEQUENT_UPPER;
|
|
upper_string_count++;
|
|
if (longest_upper_run_len < upper_string_count)
|
|
longest_upper_run_len = upper_string_count;
|
|
if (last_char == unicharset.unichar_to_id(str, *lengths)) {
|
|
alpha_repetition_count++;
|
|
if (longest_alpha_repetition_count < alpha_repetition_count) {
|
|
longest_alpha_repetition_count = alpha_repetition_count;
|
|
}
|
|
}
|
|
else {
|
|
last_char = unicharset.unichar_to_id(str, *lengths);
|
|
alpha_repetition_count = 1;
|
|
}
|
|
break;
|
|
case FIRST_NUM:
|
|
isolated_digits++;
|
|
default:
|
|
state = FIRST_UPPER;
|
|
last_char = unicharset.unichar_to_id(str, *lengths);
|
|
alpha_repetition_count = 1;
|
|
upper_string_count = 1;
|
|
break;
|
|
}
|
|
}
|
|
else if (unicharset.get_islower (str, *lengths)) {
|
|
total_alpha_count++;
|
|
switch (state) {
|
|
case SUBSEQUENT_LOWER:
|
|
case FIRST_LOWER:
|
|
state = SUBSEQUENT_LOWER;
|
|
lower_string_count++;
|
|
if (longest_lower_run_len < lower_string_count)
|
|
longest_lower_run_len = lower_string_count;
|
|
if (last_char == unicharset.unichar_to_id(str, *lengths)) {
|
|
alpha_repetition_count++;
|
|
if (longest_alpha_repetition_count < alpha_repetition_count) {
|
|
longest_alpha_repetition_count = alpha_repetition_count;
|
|
}
|
|
}
|
|
else {
|
|
last_char = unicharset.unichar_to_id(str, *lengths);
|
|
alpha_repetition_count = 1;
|
|
}
|
|
break;
|
|
case FIRST_NUM:
|
|
isolated_digits++;
|
|
default:
|
|
state = FIRST_LOWER;
|
|
last_char = unicharset.unichar_to_id(str, *lengths);
|
|
alpha_repetition_count = 1;
|
|
lower_string_count = 1;
|
|
break;
|
|
}
|
|
}
|
|
else if (unicharset.get_isdigit (str, *lengths)) {
|
|
total_digit_count++;
|
|
switch (state) {
|
|
case FIRST_NUM:
|
|
state = SUBSEQUENT_NUM;
|
|
case SUBSEQUENT_NUM:
|
|
break;
|
|
case FIRST_UPPER:
|
|
case FIRST_LOWER:
|
|
isolated_alphas++;
|
|
default:
|
|
state = FIRST_NUM;
|
|
break;
|
|
}
|
|
}
|
|
else {
|
|
if (*lengths == 1 && *str == ' ')
|
|
tess_rejs++;
|
|
else
|
|
bad_char_count++;
|
|
switch (state) {
|
|
case FIRST_NUM:
|
|
isolated_digits++;
|
|
break;
|
|
case FIRST_UPPER:
|
|
case FIRST_LOWER:
|
|
isolated_alphas++;
|
|
default:
|
|
break;
|
|
}
|
|
state = JUNK;
|
|
}
|
|
}
|
|
|
|
switch (state) {
|
|
case FIRST_NUM:
|
|
isolated_digits++;
|
|
break;
|
|
case FIRST_UPPER:
|
|
case FIRST_LOWER:
|
|
isolated_alphas++;
|
|
default:
|
|
break;
|
|
}
|
|
|
|
if (crunch_include_numerals) {
|
|
total_alpha_count += total_digit_count - isolated_digits;
|
|
}
|
|
|
|
if (crunch_leave_ok_strings &&
|
|
(len >= 4) &&
|
|
(2 * (total_alpha_count - isolated_alphas) > len) &&
|
|
(longest_alpha_repetition_count < crunch_long_repetitions)) {
|
|
if ((crunch_accept_ok &&
|
|
(acceptable_word_string (str, lengths) != AC_UNACCEPTABLE)) ||
|
|
(longest_lower_run_len > crunch_leave_lc_strings) ||
|
|
(longest_upper_run_len > crunch_leave_uc_strings))
|
|
return G_NEVER_CRUNCH;
|
|
}
|
|
if ((word->reject_map.length () > 1) &&
|
|
(strpbrk (str, " ") == NULL) &&
|
|
((word->best_choice->permuter () == SYSTEM_DAWG_PERM) ||
|
|
(word->best_choice->permuter () == FREQ_DAWG_PERM) ||
|
|
(word->best_choice->permuter () == USER_DAWG_PERM) ||
|
|
(word->best_choice->permuter () == NUMBER_PERM) ||
|
|
(acceptable_word_string (str, lengths) != AC_UNACCEPTABLE) || ok_dict_word))
|
|
return G_OK;
|
|
|
|
ok_chars = len - bad_char_count - isolated_digits -
|
|
isolated_alphas - tess_rejs;
|
|
|
|
if (crunch_debug > 3) {
|
|
tprintf ("garbage_word: \"%s\"\n",
|
|
word->best_choice->unichar_string().string());
|
|
tprintf ("LEN: %d bad: %d iso_N: %d iso_A: %d rej: %d\n",
|
|
len,
|
|
bad_char_count, isolated_digits, isolated_alphas, tess_rejs);
|
|
}
|
|
if ((bad_char_count == 0) &&
|
|
(tess_rejs == 0) &&
|
|
((len > isolated_digits + isolated_alphas) || (len <= 2)))
|
|
return G_OK;
|
|
|
|
if ((tess_rejs > ok_chars) ||
|
|
((tess_rejs > 0) && ((bad_char_count + tess_rejs) * 2 > len)))
|
|
return G_TERRIBLE;
|
|
|
|
if (len > 4) {
|
|
dodgy_chars = 2 * tess_rejs + bad_char_count +
|
|
isolated_digits + isolated_alphas;
|
|
if ((dodgy_chars > 5) || ((dodgy_chars / (float) len) > 0.5))
|
|
return G_DODGY;
|
|
else
|
|
return G_OK;
|
|
}
|
|
else {
|
|
dodgy_chars = 2 * tess_rejs + bad_char_count;
|
|
if (((len == 4) && (dodgy_chars > 2)) ||
|
|
((len == 3) && (dodgy_chars > 2)) || (dodgy_chars >= len))
|
|
return G_DODGY;
|
|
else
|
|
return G_OK;
|
|
}
|
|
}
|
|
} // namespace tesseract
|
|
|
|
|
|
/*************************************************************************
|
|
* word_deletable()
|
|
* DELETE WERDS AT ENDS OF ROWS IF
|
|
* Word is crunched &&
|
|
* ( string length = 0 OR
|
|
* > 50% of chars are "|" (before merging) OR
|
|
* certainty < -10 OR
|
|
* rating /char > 60 OR
|
|
* TOP of word is more than 0.5 xht BELOW baseline OR
|
|
* BOTTOM of word is more than 0.5 xht ABOVE xht OR
|
|
* length of word < 3xht OR
|
|
* height of word < 0.7 xht OR
|
|
* height of word > 3.0 xht OR
|
|
* >75% of the outline BBs have longest dimension < 0.5xht
|
|
*************************************************************************/
|
|
|
|
CRUNCH_MODE word_deletable(WERD_RES *word, inT16 &delete_mode) {
|
|
int word_len = word->reject_map.length ();
|
|
float rating_per_ch;
|
|
TBOX box; //BB of word
|
|
|
|
if (word->unlv_crunch_mode == CR_NONE) {
|
|
delete_mode = 0;
|
|
return CR_NONE;
|
|
}
|
|
|
|
if (word_len == 0) {
|
|
delete_mode = 1;
|
|
return CR_DELETE;
|
|
}
|
|
|
|
box = word->outword->bounding_box ();
|
|
if (box.height () < crunch_del_min_ht * bln_x_height) {
|
|
delete_mode = 4;
|
|
return CR_DELETE;
|
|
}
|
|
|
|
if (noise_outlines (word->outword)) {
|
|
delete_mode = 5;
|
|
return CR_DELETE;
|
|
}
|
|
|
|
if ((failure_count (word) * 1.5) > word_len) {
|
|
delete_mode = 2;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
if (word->best_choice->certainty () < crunch_del_cert) {
|
|
delete_mode = 7;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
rating_per_ch = word->best_choice->rating () / word_len;
|
|
|
|
if (rating_per_ch > crunch_del_rating) {
|
|
delete_mode = 8;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
if (box.top () < bln_baseline_offset - crunch_del_low_word * bln_x_height) {
|
|
delete_mode = 9;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
if (box.bottom () >
|
|
bln_baseline_offset + crunch_del_high_word * bln_x_height) {
|
|
delete_mode = 10;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
if (box.height () > crunch_del_max_ht * bln_x_height) {
|
|
delete_mode = 11;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
if (box.width () < crunch_del_min_width * bln_x_height) {
|
|
delete_mode = 3;
|
|
return CR_LOOSE_SPACE;
|
|
}
|
|
|
|
delete_mode = 0;
|
|
return CR_NONE;
|
|
}
|
|
|
|
inT16 failure_count(WERD_RES *word) {
|
|
const char *str = word->best_choice->unichar_string().string();
|
|
int tess_rejs = 0;
|
|
|
|
for (; *str != '\0'; str++) {
|
|
if (*str == ' ')
|
|
tess_rejs++;
|
|
}
|
|
return tess_rejs;
|
|
}
|
|
|
|
|
|
BOOL8 noise_outlines(WERD *word) {
|
|
PBLOB_IT blob_it;
|
|
OUTLINE_IT outline_it;
|
|
TBOX box; //BB of outline
|
|
inT16 outline_count = 0;
|
|
inT16 small_outline_count = 0;
|
|
inT16 max_dimension;
|
|
float small_limit = bln_x_height * crunch_small_outlines_size;
|
|
|
|
blob_it.set_to_list (word->blob_list ());
|
|
for (blob_it.mark_cycle_pt (); !blob_it.cycled_list (); blob_it.forward ()) {
|
|
outline_it.set_to_list (blob_it.data ()->out_list ());
|
|
for (outline_it.mark_cycle_pt ();
|
|
!outline_it.cycled_list (); outline_it.forward ()) {
|
|
outline_count++;
|
|
box = outline_it.data ()->bounding_box ();
|
|
if (box.height () > box.width ())
|
|
max_dimension = box.height ();
|
|
else
|
|
max_dimension = box.width ();
|
|
if (max_dimension < small_limit)
|
|
small_outline_count++;
|
|
}
|
|
}
|
|
return (small_outline_count >= outline_count);
|
|
}
|
|
|
|
|
|
/*************************************************************************
|
|
* insert_rej_cblobs()
|
|
* Put rejected word blobs back into the outword.
|
|
* NOTE!!! AFTER THIS THE CHOICES LIST WILL NOT HAVE THE CORRECT NUMBER
|
|
* OF ELEMENTS.
|
|
*************************************************************************/
|
|
namespace tesseract {
|
|
void Tesseract::insert_rej_cblobs(WERD_RES *word) {
|
|
PBLOB_IT blob_it; //blob iterator
|
|
PBLOB_IT rej_blob_it;
|
|
const STRING *word_str;
|
|
const STRING *word_lengths;
|
|
int old_len;
|
|
int rej_len;
|
|
char new_str[512 * UNICHAR_LEN];
|
|
char new_lengths[512];
|
|
REJMAP new_map;
|
|
int i = 0; //new_str index
|
|
int j = 0; //old_str index
|
|
int i_offset = 0; //new_str offset
|
|
int j_offset = 0; //old_str offset
|
|
int new_len;
|
|
|
|
gblob_sort_list (word->outword->rej_blob_list (), TRUE);
|
|
rej_blob_it.set_to_list (word->outword->rej_blob_list ());
|
|
if (rej_blob_it.empty ())
|
|
return;
|
|
rej_len = rej_blob_it.length ();
|
|
blob_it.set_to_list (word->outword->blob_list ());
|
|
word_str = &(word->best_choice->unichar_string());
|
|
word_lengths = &(word->best_choice->unichar_lengths());
|
|
old_len = word->best_choice->length();
|
|
ASSERT_HOST (word->reject_map.length () == old_len);
|
|
ASSERT_HOST (blob_it.length () == old_len);
|
|
if ((old_len + rej_len) > 511)
|
|
return; //Word is garbage anyway prevent abort
|
|
new_map.initialise (old_len + rej_len);
|
|
|
|
while (!rej_blob_it.empty ()) {
|
|
if ((j >= old_len) ||
|
|
(rej_blob_it.data ()->bounding_box ().left () <=
|
|
blob_it.data ()->bounding_box ().left ())) {
|
|
/* Insert reject blob */
|
|
if (j >= old_len)
|
|
blob_it.add_to_end (rej_blob_it.extract ());
|
|
else
|
|
blob_it.add_before_stay_put (rej_blob_it.extract ());
|
|
if (!rej_blob_it.empty ())
|
|
rej_blob_it.forward ();
|
|
new_str[i_offset] = ' ';
|
|
new_lengths[i] = 1;
|
|
new_map[i].setrej_rej_cblob ();
|
|
i_offset += new_lengths[i++];
|
|
}
|
|
else {
|
|
strncpy(new_str + i_offset, &(*word_str)[j_offset],
|
|
(*word_lengths)[j]);
|
|
new_lengths[i] = (*word_lengths)[j];
|
|
new_map[i] = word->reject_map[j];
|
|
i_offset += new_lengths[i++];
|
|
j_offset += (*word_lengths)[j++];
|
|
blob_it.forward ();
|
|
}
|
|
}
|
|
/* Add any extra normal blobs to strings */
|
|
while (j < word_lengths->length ()) {
|
|
strncpy(new_str + i_offset, &(*word_str)[j_offset],
|
|
(*word_lengths)[j]);
|
|
new_lengths[i] = (*word_lengths)[j];
|
|
new_map[i] = word->reject_map[j];
|
|
i_offset += new_lengths[i++];
|
|
j_offset += (*word_lengths)[j++];
|
|
}
|
|
new_str[i_offset] = '\0';
|
|
new_lengths[i] = 0;
|
|
/*
|
|
tprintf(
|
|
"\nOld len %d; New len %d; New str \"%s\"; New map \"%s\"\n",
|
|
old_len, i, new_str, new_map );
|
|
*/
|
|
ASSERT_HOST (i == blob_it.length ());
|
|
ASSERT_HOST (i == old_len + rej_len);
|
|
word->reject_map = new_map;
|
|
|
|
// Update word->best_choice if needed.
|
|
if (strcmp(new_str, word->best_choice->unichar_string().string()) != 0 ||
|
|
strcmp(new_lengths, word->best_choice->unichar_lengths().string()) != 0) {
|
|
WERD_CHOICE *new_choice =
|
|
new WERD_CHOICE(new_str, new_lengths,
|
|
word->best_choice->rating(),
|
|
word->best_choice->certainty(),
|
|
word->best_choice->permuter(),
|
|
getDict().getUnicharset());
|
|
new_choice->populate_unichars(getDict().getUnicharset());
|
|
delete word->best_choice;
|
|
word->best_choice = new_choice;
|
|
}
|
|
new_len = word->best_choice->length();
|
|
ASSERT_HOST (word->reject_map.length () == new_len);
|
|
ASSERT_HOST (word->outword->blob_list ()->length () == new_len);
|
|
|
|
}
|
|
} // namespace tesseract
|