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https://github.com/tesseract-ocr/tesseract.git
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1079 lines
34 KiB
C++
1079 lines
34 KiB
C++
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/**********************************************************************
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* File: adaptions.cpp (Formerly adaptions.c)
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* Description: Functions used to adapt to blobs already confidently
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* identified
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* Author: Chris Newton
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* Created: Thu Oct 7 10:17:28 BST 1993
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*
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* (C) Copyright 1992, 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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#include "mfcpch.h"
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#ifdef __UNIX__
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#include <assert.h>
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#endif
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#include <ctype.h>
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#include <string.h>
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#include "tessbox.h"
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#include "tessvars.h"
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#include "memry.h"
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#include "mainblk.h"
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#include "charcut.h"
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#include "imgs.h"
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#include "scaleimg.h"
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#include "reject.h"
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#include "control.h"
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#include "adaptions.h"
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#include "stopper.h"
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#include "charsample.h"
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#include "matmatch.h"
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#include "secname.h"
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INT32 demo_word = 0;
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#define EXTERN
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EXTERN BOOL_VAR (tessedit_reject_ems, FALSE, "Reject all m's");
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EXTERN BOOL_VAR (tessedit_reject_suspect_ems, FALSE, "Reject suspect m's");
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EXTERN double_VAR (tessedit_cluster_t1, 0.20,
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"t1 threshold for clustering samples");
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EXTERN double_VAR (tessedit_cluster_t2, 0.40,
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"t2 threshold for clustering samples");
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EXTERN double_VAR (tessedit_cluster_t3, 0.12,
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"Extra threshold for clustering samples, only keep a new sample if best score greater than this value");
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EXTERN double_VAR (tessedit_cluster_accept_fraction, 0.80,
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"Largest fraction of characters in cluster for it to be used for adaption");
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EXTERN INT_VAR (tessedit_cluster_min_size, 3,
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"Smallest number of samples in a cluster for it to be used for adaption");
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EXTERN BOOL_VAR (tessedit_cluster_debug, FALSE,
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"Generate and print debug information for adaption by clustering");
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EXTERN BOOL_VAR (tessedit_use_best_sample, FALSE,
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"Use best sample from cluster when adapting");
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EXTERN BOOL_VAR (tessedit_test_cluster_input, FALSE,
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"Set reject map to enable cluster input to be measured");
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EXTERN BOOL_VAR (tessedit_matrix_match, TRUE, "Use matrix matcher");
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EXTERN BOOL_VAR (tessedit_mm_use_non_adaption_set, FALSE,
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"Don't try to adapt to characters on this list");
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EXTERN STRING_VAR (tessedit_non_adaption_set, ",.;:'~@*",
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"Characters to be avoided when adapting");
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EXTERN BOOL_VAR (tessedit_mm_adapt_using_prototypes, TRUE,
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"Use prototypes when adapting");
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EXTERN BOOL_VAR (tessedit_mm_use_prototypes, TRUE,
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"Use prototypes as clusters are built");
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EXTERN BOOL_VAR (tessedit_mm_use_rejmap, FALSE,
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"Adapt to characters using reject map");
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EXTERN BOOL_VAR (tessedit_mm_all_rejects, FALSE,
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"Adapt to all characters using, matrix matcher");
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EXTERN BOOL_VAR (tessedit_mm_only_match_same_char, FALSE,
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"Only match samples against clusters for the same character");
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EXTERN BOOL_VAR (tessedit_process_rns, FALSE, "Handle m - rn ambigs");
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EXTERN BOOL_VAR (tessedit_demo_adaption, FALSE,
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"Display cut images and matrix match for demo purposes");
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EXTERN INT_VAR (tessedit_demo_word1, 62,
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"Word number of first word to display");
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EXTERN INT_VAR (tessedit_demo_word2, 64,
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"Word number of second word to display");
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EXTERN STRING_VAR (tessedit_demo_file, "academe",
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"Name of document containing demo words");
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BOOL8 word_adaptable( //should we adapt?
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WERD_RES *word,
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UINT16 mode) {
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BOOL8 status = FALSE;
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BITS16 flags(mode);
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enum MODES
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{
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ADAPTABLE_WERD,
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ACCEPTABLE_WERD,
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CHECK_DAWGS,
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CHECK_SPACES,
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CHECK_ONE_ELL_CONFLICT,
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CHECK_AMBIG_WERD
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};
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/*
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0: NO adaption
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*/
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if (mode == 0) {
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return FALSE;
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}
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if (flags.bit (ADAPTABLE_WERD))
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status |= word->tess_would_adapt;
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if (flags.bit (ACCEPTABLE_WERD))
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status |= word->tess_accepted;
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if (!status) // If not set then
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return FALSE; // ignore other checks
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if (flags.bit (CHECK_DAWGS) &&
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(word->best_choice->permuter () != SYSTEM_DAWG_PERM) &&
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(word->best_choice->permuter () != FREQ_DAWG_PERM) &&
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(word->best_choice->permuter () != USER_DAWG_PERM) &&
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(word->best_choice->permuter () != NUMBER_PERM))
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return FALSE;
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if (flags.bit (CHECK_ONE_ELL_CONFLICT) && one_ell_conflict (word, FALSE))
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return FALSE;
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if (flags.bit (CHECK_SPACES) &&
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(strchr (word->best_choice->string ().string (), ' ') != NULL))
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return FALSE;
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// if (flags.bit (CHECK_AMBIG_WERD) && test_ambig_word (word))
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if (flags.bit (CHECK_AMBIG_WERD) &&
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!NoDangerousAmbig(word->best_choice->string().string(), NULL))
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return FALSE;
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return status;
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}
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void collect_ems_for_adaption(WERD_RES *word,
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CHAR_SAMPLES_LIST *char_clusters,
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CHAR_SAMPLE_LIST *chars_waiting) {
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PBLOB_LIST *blobs = word->outword->blob_list ();
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PBLOB_IT blob_it(blobs);
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INT16 i;
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CHAR_SAMPLE *sample;
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PIXROW_LIST *pixrow_list;
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PIXROW_IT pixrow_it;
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IMAGELINE *imlines; // lines of the image
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BOX pix_box; // box of imlines
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// extent
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WERD copy_outword; // copy to denorm
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PBLOB_IT copy_blob_it;
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OUTLINE_IT copy_outline_it;
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INT32 resolution = page_image.get_res ();
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if (tessedit_reject_ems || tessedit_reject_suspect_ems)
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return; // Do nothing
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if (word->word->bounding_box ().height () > resolution / 3)
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return;
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if (tessedit_demo_adaption)
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// Make sure not set
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tessedit_display_mm.set_value (FALSE);
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if (word_adaptable (word, tessedit_em_adaption_mode)
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&& word->reject_map.reject_count () == 0
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&& (strchr (word->best_choice->string ().string (), 'm') != NULL
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|| (tessedit_process_rns
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&& strstr (word->best_choice->string ().string (),
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"rn") != NULL))) {
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if (tessedit_process_rns
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&& strstr (word->best_choice->string ().string (), "rn") != NULL) {
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copy_outword = *(word->outword);
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copy_blob_it.set_to_list (copy_outword.blob_list ());
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i = 0;
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while (word->best_choice->string ()[i] != '\0') {
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if (word->best_choice->string ()[i] == 'r'
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&& word->best_choice->string ()[i + 1] == 'n') {
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copy_outline_it.set_to_list (copy_blob_it.data ()->
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out_list ());
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copy_outline_it.add_list_after (copy_blob_it.
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data_relative (1)->
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out_list ());
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copy_blob_it.forward ();
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delete (copy_blob_it.extract ());
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i++;
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}
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copy_blob_it.forward ();
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i++;
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}
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}
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else
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copy_outword = *(word->outword);
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copy_outword.baseline_denormalise (&word->denorm);
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char_clip_word(©_outword, page_image, pixrow_list, imlines, pix_box);
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pixrow_it.set_to_list (pixrow_list);
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pixrow_it.move_to_first ();
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blob_it.move_to_first ();
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for (i = 0;
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word->best_choice->string ()[i] != '\0';
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i++, pixrow_it.forward (), blob_it.forward ()) {
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if (word->best_choice->string ()[i] == 'm'
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|| (word->best_choice->string ()[i] == 'r'
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&& word->best_choice->string ()[i + 1] == 'n')) {
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#ifndef SECURE_NAMES
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if (tessedit_cluster_debug)
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tprintf ("Sample %c for adaption found in %s, index %d\n",
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word->best_choice->string ()[i],
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word->best_choice->string ().string (), i);
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#endif
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if (tessedit_matrix_match) {
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sample = clip_sample (pixrow_it.data (),
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imlines,
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pix_box,
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copy_outword.flag (W_INVERSE),
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word->best_choice->string ()[i]);
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if (sample == NULL) { //Clip failed
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#ifndef SECURE_NAMES
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tprintf ("Unable to clip sample from %s, index %d\n",
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word->best_choice->string ().string (), i);
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#endif
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if (word->best_choice->string ()[i] == 'r')
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i++;
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continue;
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}
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}
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else
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sample = new CHAR_SAMPLE (blob_it.data (),
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&word->denorm,
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word->best_choice->string ()[i]);
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cluster_sample(sample, char_clusters, chars_waiting);
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if (word->best_choice->string ()[i] == 'r')
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i++; // Skip next character
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}
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}
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delete[]imlines; // Free array of imlines
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delete pixrow_list;
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}
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}
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void collect_characters_for_adaption(WERD_RES *word,
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CHAR_SAMPLES_LIST *char_clusters,
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CHAR_SAMPLE_LIST *chars_waiting) {
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PBLOB_LIST *blobs = word->outword->blob_list ();
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PBLOB_IT blob_it(blobs);
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INT16 i;
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CHAR_SAMPLE *sample;
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PIXROW_LIST *pixrow_list;
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PIXROW_IT pixrow_it;
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IMAGELINE *imlines; // lines of the image
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BOX pix_box; // box of imlines
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// extent
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WERD copy_outword; // copy to denorm
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INT32 resolution = page_image.get_res ();
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if (word->word->bounding_box ().height () > resolution / 3)
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return;
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if (tessedit_demo_adaption)
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// Make sure not set
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tessedit_display_mm.set_value (FALSE);
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if ((word_adaptable (word, tessedit_cluster_adaption_mode)
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&& word->reject_map.reject_count () == 0) || tessedit_mm_use_rejmap) {
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if (tessedit_test_cluster_input && !tessedit_mm_use_rejmap)
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return; // Reject map set to acceptable
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/* Collect information about good matches */
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copy_outword = *(word->outword);
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copy_outword.baseline_denormalise (&word->denorm);
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char_clip_word(©_outword, page_image, pixrow_list, imlines, pix_box);
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pixrow_it.set_to_list (pixrow_list);
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pixrow_it.move_to_first ();
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blob_it.move_to_first ();
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for (i = 0;
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word->best_choice->string ()[i] != '\0';
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i++, pixrow_it.forward (), blob_it.forward ()) {
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if (!(tessedit_mm_use_non_adaption_set
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&& STRING (tessedit_non_adaption_set).contains (word->
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best_choice->
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string ()[i]))
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|| (tessedit_mm_use_rejmap && word->reject_map[i].accepted ())) {
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#ifndef SECURE_NAMES
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if (tessedit_cluster_debug)
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tprintf ("Sample %c for adaption found in %s, index %d\n",
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word->best_choice->string ()[i],
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word->best_choice->string ().string (), i);
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#endif
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sample = clip_sample (pixrow_it.data (),
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imlines,
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pix_box,
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copy_outword.flag (W_INVERSE),
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word->best_choice->string ()[i]);
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if (sample == NULL) { //Clip failed
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#ifndef SECURE_NAMES
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tprintf ("Unable to clip sample from %s, index %d\n",
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word->best_choice->string ().string (), i);
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#endif
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continue;
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}
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cluster_sample(sample, char_clusters, chars_waiting);
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}
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}
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delete[]imlines; // Free array of imlines
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delete pixrow_list;
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}
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else if (tessedit_test_cluster_input && !tessedit_mm_use_rejmap)
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// Set word to all rejects
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word->reject_map.rej_word_tess_failure ();
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}
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void cluster_sample(CHAR_SAMPLE *sample,
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CHAR_SAMPLES_LIST *char_clusters,
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CHAR_SAMPLE_LIST *chars_waiting) {
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CHAR_SAMPLES *best_cluster = NULL;
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CHAR_SAMPLES_IT c_it = char_clusters;
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CHAR_SAMPLE_IT cw_it = chars_waiting;
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float score;
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float best_score = MAX_INT32;
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if (c_it.empty ())
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c_it.add_to_end (new CHAR_SAMPLES (sample));
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else {
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for (c_it.mark_cycle_pt (); !c_it.cycled_list (); c_it.forward ()) {
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score = c_it.data ()->match_score (sample);
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if (score < best_score) {
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best_score = score;
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best_cluster = c_it.data ();
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}
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}
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if (tessedit_cluster_debug)
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tprintf ("Sample's best score %f\n", best_score);
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if (best_score < tessedit_cluster_t1) {
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if (best_score > tessedit_cluster_t3 || tessedit_mm_use_prototypes) {
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best_cluster->add_sample (sample);
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check_wait_list(chars_waiting, sample, best_cluster);
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#ifndef SECURE_NAMES
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if (tessedit_cluster_debug)
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tprintf ("Sample added to an existing cluster\n");
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#endif
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}
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else {
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#ifndef SECURE_NAMES
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if (tessedit_cluster_debug)
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tprintf
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("Sample dropped, good match to an existing cluster\n");
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#endif
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}
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}
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else if (best_score > tessedit_cluster_t2) {
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c_it.add_to_end (new CHAR_SAMPLES (sample));
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#ifndef SECURE_NAMES
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if (tessedit_cluster_debug)
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tprintf ("New cluster created for this sample\n");
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#endif
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}
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else {
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cw_it.add_to_end (sample);
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if (tessedit_cluster_debug)
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tprintf ("Sample added to the wait list\n");
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}
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}
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}
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void check_wait_list(CHAR_SAMPLE_LIST *chars_waiting,
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CHAR_SAMPLE *sample,
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CHAR_SAMPLES *best_cluster) {
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CHAR_SAMPLE *wait_sample;
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CHAR_SAMPLE *test_sample = sample;
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CHAR_SAMPLE_IT cw_it = chars_waiting;
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CHAR_SAMPLE_LIST add_list; //Samples added to best cluster
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CHAR_SAMPLE_IT add_it = &add_list;
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float score;
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add_list.clear ();
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if (!cw_it.empty ()) {
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do {
|
||
|
if (!add_list.empty ()) {
|
||
|
add_it.forward ();
|
||
|
test_sample = add_it.extract ();
|
||
|
best_cluster->add_sample (test_sample);
|
||
|
}
|
||
|
|
||
|
for (cw_it.mark_cycle_pt ();
|
||
|
!cw_it.cycled_list (); cw_it.forward ()) {
|
||
|
wait_sample = cw_it.data ();
|
||
|
if (tessedit_mm_use_prototypes)
|
||
|
score = best_cluster->match_score (wait_sample);
|
||
|
else
|
||
|
score = sample->match_sample (wait_sample, FALSE);
|
||
|
if (score < tessedit_cluster_t1) {
|
||
|
if (score > tessedit_cluster_t3
|
||
|
|| tessedit_mm_use_prototypes) {
|
||
|
add_it.add_after_stay_put (cw_it.extract ());
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf
|
||
|
("Wait sample added to an existing cluster\n");
|
||
|
#endif
|
||
|
}
|
||
|
else {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf
|
||
|
("Wait sample dropped, good match to an existing cluster\n");
|
||
|
#endif
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
while (!add_list.empty ());
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
void complete_clustering(CHAR_SAMPLES_LIST *char_clusters,
|
||
|
CHAR_SAMPLE_LIST *chars_waiting) {
|
||
|
CHAR_SAMPLES *best_cluster;
|
||
|
CHAR_SAMPLES_IT c_it = char_clusters;
|
||
|
CHAR_SAMPLE_IT cw_it = chars_waiting;
|
||
|
CHAR_SAMPLE *sample;
|
||
|
INT32 total_sample_count = 0;
|
||
|
|
||
|
while (!cw_it.empty ()) {
|
||
|
cw_it.move_to_first ();
|
||
|
sample = cw_it.extract ();
|
||
|
best_cluster = new CHAR_SAMPLES (sample);
|
||
|
c_it.add_to_end (best_cluster);
|
||
|
check_wait_list(chars_waiting, sample, best_cluster);
|
||
|
}
|
||
|
|
||
|
for (c_it.mark_cycle_pt (); !c_it.cycled_list (); c_it.forward ()) {
|
||
|
c_it.data ()->assign_to_char ();
|
||
|
if (tessedit_use_best_sample)
|
||
|
c_it.data ()->find_best_sample ();
|
||
|
else if (tessedit_mm_adapt_using_prototypes)
|
||
|
c_it.data ()->build_prototype ();
|
||
|
|
||
|
if (tessedit_cluster_debug)
|
||
|
total_sample_count += c_it.data ()->n_samples ();
|
||
|
}
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Clustering completed, %d samples in all\n", total_sample_count);
|
||
|
#endif
|
||
|
|
||
|
#ifndef GRAPHICS_DISABLED
|
||
|
if (tessedit_demo_adaption)
|
||
|
display_cluster_prototypes(char_clusters);
|
||
|
#endif
|
||
|
|
||
|
}
|
||
|
|
||
|
|
||
|
void adapt_to_good_ems(WERD_RES *word,
|
||
|
CHAR_SAMPLES_LIST *char_clusters,
|
||
|
CHAR_SAMPLE_LIST *chars_waiting) {
|
||
|
PBLOB_LIST *blobs = word->outword->blob_list ();
|
||
|
PBLOB_IT blob_it(blobs);
|
||
|
INT16 i;
|
||
|
CHAR_SAMPLE *sample;
|
||
|
CHAR_SAMPLES_IT c_it = char_clusters;
|
||
|
CHAR_SAMPLE_IT cw_it = chars_waiting;
|
||
|
float score;
|
||
|
float best_score;
|
||
|
char best_char;
|
||
|
CHAR_SAMPLES *best_cluster;
|
||
|
PIXROW_LIST *pixrow_list;
|
||
|
PIXROW_IT pixrow_it;
|
||
|
IMAGELINE *imlines; // lines of the image
|
||
|
BOX pix_box; // box of imlines
|
||
|
// extent
|
||
|
WERD copy_outword; // copy to denorm
|
||
|
BOX b_box;
|
||
|
PBLOB_IT copy_blob_it;
|
||
|
OUTLINE_IT copy_outline_it;
|
||
|
PIXROW *pixrow = NULL;
|
||
|
|
||
|
static INT32 word_number = 0;
|
||
|
|
||
|
#ifndef GRAPHICS_DISABLED
|
||
|
WINDOW demo_win = NULL;
|
||
|
#endif
|
||
|
|
||
|
INT32 resolution = page_image.get_res ();
|
||
|
|
||
|
if (word->word->bounding_box ().height () > resolution / 3)
|
||
|
return;
|
||
|
|
||
|
word_number++;
|
||
|
|
||
|
if (strchr (word->best_choice->string ().string (), 'm') == NULL
|
||
|
&& (tessedit_process_rns
|
||
|
&& strstr (word->best_choice->string ().string (), "rn") == NULL))
|
||
|
return;
|
||
|
|
||
|
if (tessedit_reject_ems)
|
||
|
reject_all_ems(word);
|
||
|
else if (tessedit_reject_suspect_ems)
|
||
|
reject_suspect_ems(word);
|
||
|
else {
|
||
|
if (char_clusters->length () == 0) {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("No clusters to use for em adaption\n");
|
||
|
#endif
|
||
|
return;
|
||
|
}
|
||
|
|
||
|
if (!cw_it.empty ()) {
|
||
|
complete_clustering(char_clusters, chars_waiting);
|
||
|
print_em_stats(char_clusters, chars_waiting);
|
||
|
}
|
||
|
|
||
|
if ((!word_adaptable (word, tessedit_em_adaption_mode) ||
|
||
|
word->reject_map.reject_count () != 0)
|
||
|
&& (strchr (word->best_choice->string ().string (), 'm') != NULL
|
||
|
|| (tessedit_process_rns
|
||
|
&& strstr (word->best_choice->string ().string (),
|
||
|
"rn") != NULL))) {
|
||
|
if (tessedit_process_rns
|
||
|
&& strstr (word->best_choice->string ().string (),
|
||
|
"rn") != NULL) {
|
||
|
copy_outword = *(word->outword);
|
||
|
copy_blob_it.set_to_list (copy_outword.blob_list ());
|
||
|
i = 0;
|
||
|
while (word->best_choice->string ()[i] != '\0') {
|
||
|
if (word->best_choice->string ()[i] == 'r'
|
||
|
&& word->best_choice->string ()[i + 1] == 'n') {
|
||
|
copy_outline_it.set_to_list (copy_blob_it.data ()->
|
||
|
out_list ());
|
||
|
copy_outline_it.add_list_after (copy_blob_it.
|
||
|
data_relative (1)->
|
||
|
out_list ());
|
||
|
copy_blob_it.forward ();
|
||
|
delete (copy_blob_it.extract ());
|
||
|
i++;
|
||
|
}
|
||
|
copy_blob_it.forward ();
|
||
|
i++;
|
||
|
}
|
||
|
}
|
||
|
else
|
||
|
copy_outword = *(word->outword);
|
||
|
|
||
|
copy_outword.baseline_denormalise (&word->denorm);
|
||
|
copy_blob_it.set_to_list (copy_outword.blob_list ());
|
||
|
char_clip_word(©_outword, page_image, pixrow_list, imlines, pix_box);
|
||
|
pixrow_it.set_to_list (pixrow_list);
|
||
|
pixrow_it.move_to_first ();
|
||
|
|
||
|
// For debugging only
|
||
|
b_box = copy_outword.bounding_box ();
|
||
|
pixrow = pixrow_it.data ();
|
||
|
|
||
|
blob_it.move_to_first ();
|
||
|
copy_blob_it.move_to_first ();
|
||
|
for (i = 0;
|
||
|
word->best_choice->string ()[i] != '\0';
|
||
|
i++, pixrow_it.forward (), blob_it.forward (),
|
||
|
copy_blob_it.forward ()) {
|
||
|
if ((word->best_choice->string ()[i] == 'm'
|
||
|
|| (word->best_choice->string ()[i] == 'r'
|
||
|
&& word->best_choice->string ()[i + 1] == 'n'))
|
||
|
&& !word->reject_map[i].perm_rejected ()) {
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample %c to check found in %s, index %d\n",
|
||
|
word->best_choice->string ()[i],
|
||
|
word->best_choice->string ().string (), i);
|
||
|
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf
|
||
|
("Sample %c to check found in %s (%d), index %d\n",
|
||
|
word->best_choice->string ()[i],
|
||
|
word->best_choice->string ().string (), word_number,
|
||
|
i);
|
||
|
|
||
|
if (tessedit_matrix_match) {
|
||
|
BOX copy_box = copy_blob_it.data ()->bounding_box ();
|
||
|
|
||
|
sample = clip_sample (pixrow_it.data (),
|
||
|
imlines,
|
||
|
pix_box,
|
||
|
copy_outword.flag (W_INVERSE),
|
||
|
word->best_choice->string ()[i]);
|
||
|
|
||
|
//Clip failed
|
||
|
if (sample == NULL) {
|
||
|
tprintf
|
||
|
("Unable to clip sample from %s, index %d\n",
|
||
|
word->best_choice->string ().string (), i);
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample rejected (no sample)\n");
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
if (word->best_choice->string ()[i] == 'r') {
|
||
|
word->reject_map[i + 1].setrej_mm_reject ();
|
||
|
i++;
|
||
|
}
|
||
|
continue;
|
||
|
}
|
||
|
}
|
||
|
else
|
||
|
sample = new CHAR_SAMPLE (blob_it.data (),
|
||
|
&word->denorm,
|
||
|
word->best_choice->
|
||
|
string ()[i]);
|
||
|
|
||
|
best_score = MAX_INT32;
|
||
|
best_char = '\0';
|
||
|
best_cluster = NULL;
|
||
|
|
||
|
for (c_it.mark_cycle_pt ();
|
||
|
!c_it.cycled_list (); c_it.forward ()) {
|
||
|
if (c_it.data ()->character () != '\0') {
|
||
|
score = c_it.data ()->match_score (sample);
|
||
|
if (score < best_score) {
|
||
|
best_cluster = c_it.data ();
|
||
|
best_score = score;
|
||
|
best_char = c_it.data ()->character ();
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if (best_score > tessedit_cluster_t1) {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample rejected (score %f)\n", best_score);
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample rejected (score %f)\n", best_score);
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
if (word->best_choice->string ()[i] == 'r')
|
||
|
word->reject_map[i + 1].setrej_mm_reject ();
|
||
|
}
|
||
|
else {
|
||
|
if (word->best_choice->string ()[i] == best_char) {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample accepted (score %f)\n",
|
||
|
best_score);
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample accepted (score %f)\n",
|
||
|
best_score);
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_accept ();
|
||
|
if (word->best_choice->string ()[i] == 'r')
|
||
|
word->reject_map[i + 1].setrej_mm_accept ();
|
||
|
}
|
||
|
else {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample rejected (char %c, score %f)\n",
|
||
|
best_char, best_score);
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample rejected (char %c, score %f)\n",
|
||
|
best_char, best_score);
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
if (word->best_choice->string ()[i] == 'r')
|
||
|
word->reject_map[i + 1].setrej_mm_reject ();
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if (tessedit_demo_adaption) {
|
||
|
if (strcmp (imagebasename.string (),
|
||
|
tessedit_demo_file.string ()) != 0
|
||
|
|| word_number == tessedit_demo_word1
|
||
|
|| word_number == tessedit_demo_word2) {
|
||
|
#ifndef GRAPHICS_DISABLED
|
||
|
demo_win =
|
||
|
display_clip_image(©_outword,
|
||
|
page_image,
|
||
|
pixrow_list,
|
||
|
pix_box);
|
||
|
#endif
|
||
|
demo_word = word_number;
|
||
|
best_cluster->match_score (sample);
|
||
|
demo_word = 0;
|
||
|
}
|
||
|
}
|
||
|
if (word->best_choice->string ()[i] == 'r')
|
||
|
i++; // Skip next character
|
||
|
}
|
||
|
}
|
||
|
delete[]imlines; // Free array of imlines
|
||
|
delete pixrow_list;
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
void adapt_to_good_samples(WERD_RES *word,
|
||
|
CHAR_SAMPLES_LIST *char_clusters,
|
||
|
CHAR_SAMPLE_LIST *chars_waiting) {
|
||
|
PBLOB_LIST *blobs = word->outword->blob_list ();
|
||
|
PBLOB_IT blob_it(blobs);
|
||
|
INT16 i;
|
||
|
CHAR_SAMPLE *sample;
|
||
|
CHAR_SAMPLES_IT c_it = char_clusters;
|
||
|
CHAR_SAMPLE_IT cw_it = chars_waiting;
|
||
|
float score;
|
||
|
float best_score;
|
||
|
char best_char;
|
||
|
CHAR_SAMPLES *best_cluster;
|
||
|
PIXROW_LIST *pixrow_list;
|
||
|
PIXROW_IT pixrow_it;
|
||
|
IMAGELINE *imlines; // lines of the image
|
||
|
BOX pix_box; // box of imlines
|
||
|
// extent
|
||
|
WERD copy_outword; // copy to denorm
|
||
|
BOX b_box;
|
||
|
PBLOB_IT copy_blob_it;
|
||
|
PIXROW *pixrow = NULL;
|
||
|
|
||
|
static INT32 word_number = 0;
|
||
|
|
||
|
#ifndef GRAPHICS_DISABLED
|
||
|
WINDOW demo_win = NULL;
|
||
|
#endif
|
||
|
|
||
|
INT32 resolution = page_image.get_res ();
|
||
|
|
||
|
word_number++;
|
||
|
|
||
|
if (tessedit_test_cluster_input)
|
||
|
return;
|
||
|
|
||
|
if (word->word->bounding_box ().height () > resolution / 3)
|
||
|
return;
|
||
|
|
||
|
if (char_clusters->length () == 0) {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("No clusters to use for adaption\n");
|
||
|
#endif
|
||
|
return;
|
||
|
}
|
||
|
|
||
|
if (!cw_it.empty ()) {
|
||
|
complete_clustering(char_clusters, chars_waiting);
|
||
|
print_em_stats(char_clusters, chars_waiting);
|
||
|
}
|
||
|
|
||
|
if ((!word_adaptable (word, tessedit_cluster_adaption_mode)
|
||
|
&& word->reject_map.reject_count () != 0) || tessedit_mm_use_rejmap) {
|
||
|
if (tessedit_cluster_debug) {
|
||
|
tprintf ("\nChecking: \"%s\" MAP ",
|
||
|
word->best_choice->string ().string ());
|
||
|
word->reject_map.print (debug_fp);
|
||
|
tprintf ("\n");
|
||
|
}
|
||
|
|
||
|
copy_outword = *(word->outword);
|
||
|
copy_outword.baseline_denormalise (&word->denorm);
|
||
|
copy_blob_it.set_to_list (copy_outword.blob_list ());
|
||
|
char_clip_word(©_outword, page_image, pixrow_list, imlines, pix_box);
|
||
|
pixrow_it.set_to_list (pixrow_list);
|
||
|
pixrow_it.move_to_first ();
|
||
|
|
||
|
// For debugging only
|
||
|
b_box = copy_outword.bounding_box ();
|
||
|
pixrow = pixrow_it.data ();
|
||
|
|
||
|
blob_it.move_to_first ();
|
||
|
copy_blob_it.move_to_first ();
|
||
|
for (i = 0;
|
||
|
word->best_choice->string ()[i] != '\0';
|
||
|
i++, pixrow_it.forward (), blob_it.forward (),
|
||
|
copy_blob_it.forward ()) {
|
||
|
if (word->reject_map[i].recoverable ()
|
||
|
|| (tessedit_mm_all_rejects && word->reject_map[i].rejected ())) {
|
||
|
BOX copy_box = copy_blob_it.data ()->bounding_box ();
|
||
|
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample %c to check found in %s, index %d\n",
|
||
|
word->best_choice->string ()[i],
|
||
|
word->best_choice->string ().string (), i);
|
||
|
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample %c to check found in %s (%d), index %d\n",
|
||
|
word->best_choice->string ()[i],
|
||
|
word->best_choice->string ().string (),
|
||
|
word_number, i);
|
||
|
|
||
|
sample = clip_sample (pixrow_it.data (),
|
||
|
imlines,
|
||
|
pix_box,
|
||
|
copy_outword.flag (W_INVERSE),
|
||
|
word->best_choice->string ()[i]);
|
||
|
|
||
|
if (sample == NULL) { //Clip failed
|
||
|
tprintf ("Unable to clip sample from %s, index %d\n",
|
||
|
word->best_choice->string ().string (), i);
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample rejected (no sample)\n");
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
|
||
|
continue;
|
||
|
}
|
||
|
|
||
|
best_score = MAX_INT32;
|
||
|
best_char = '\0';
|
||
|
best_cluster = NULL;
|
||
|
|
||
|
for (c_it.mark_cycle_pt ();
|
||
|
!c_it.cycled_list (); c_it.forward ()) {
|
||
|
if (c_it.data ()->character () != '\0') {
|
||
|
score = c_it.data ()->match_score (sample);
|
||
|
if (score < best_score) {
|
||
|
best_cluster = c_it.data ();
|
||
|
best_score = score;
|
||
|
best_char = c_it.data ()->character ();
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if (best_score > tessedit_cluster_t1) {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample rejected (score %f)\n", best_score);
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample rejected (score %f)\n", best_score);
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
}
|
||
|
else {
|
||
|
if (word->best_choice->string ()[i] == best_char) {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample accepted (score %f)\n", best_score);
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample accepted (score %f)\n", best_score);
|
||
|
#endif
|
||
|
if (tessedit_test_adaption)
|
||
|
word->reject_map[i].setrej_minimal_rej_accept ();
|
||
|
else
|
||
|
word->reject_map[i].setrej_mm_accept ();
|
||
|
}
|
||
|
else {
|
||
|
#ifndef SECURE_NAMES
|
||
|
if (tessedit_cluster_debug)
|
||
|
tprintf ("Sample rejected (char %c, score %f)\n",
|
||
|
best_char, best_score);
|
||
|
if (tessedit_demo_adaption)
|
||
|
tprintf ("Sample rejected (char %c, score %f)\n",
|
||
|
best_char, best_score);
|
||
|
#endif
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if (tessedit_demo_adaption) {
|
||
|
if (strcmp (imagebasename.string (),
|
||
|
tessedit_demo_file.string ()) != 0
|
||
|
|| word_number == tessedit_demo_word1
|
||
|
|| word_number == tessedit_demo_word2) {
|
||
|
#ifndef GRAPHICS_DISABLED
|
||
|
demo_win =
|
||
|
display_clip_image(©_outword,
|
||
|
page_image,
|
||
|
pixrow_list,
|
||
|
pix_box);
|
||
|
#endif
|
||
|
demo_word = word_number;
|
||
|
best_cluster->match_score (sample);
|
||
|
demo_word = 0;
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
delete[]imlines; // Free array of imlines
|
||
|
delete pixrow_list;
|
||
|
|
||
|
if (tessedit_cluster_debug) {
|
||
|
tprintf ("\nFinal: \"%s\" MAP ",
|
||
|
word->best_choice->string ().string ());
|
||
|
word->reject_map.print (debug_fp);
|
||
|
tprintf ("\n");
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
void print_em_stats(CHAR_SAMPLES_LIST *char_clusters,
|
||
|
CHAR_SAMPLE_LIST *chars_waiting) {
|
||
|
CHAR_SAMPLES_IT c_it = char_clusters;
|
||
|
|
||
|
if (!tessedit_cluster_debug)
|
||
|
return;
|
||
|
#ifndef SECURE_NAMES
|
||
|
tprintf ("There are %d clusters and %d samples waiting\n",
|
||
|
char_clusters->length (), chars_waiting->length ());
|
||
|
|
||
|
for (c_it.mark_cycle_pt (); !c_it.cycled_list (); c_it.forward ())
|
||
|
c_it.data ()->print (debug_fp);
|
||
|
#endif
|
||
|
tprintf ("\n");
|
||
|
}
|
||
|
|
||
|
|
||
|
CHAR_SAMPLE *clip_sample( //lines of the image
|
||
|
PIXROW *pixrow,
|
||
|
IMAGELINE *imlines,
|
||
|
BOX pix_box, //box of imlines extent
|
||
|
BOOL8 white_on_black,
|
||
|
char c) {
|
||
|
BOX b_box = pixrow->bounding_box ();
|
||
|
float baseline_pos = 0;
|
||
|
INT32 resolution = page_image.get_res ();
|
||
|
|
||
|
if (!b_box.null_box ()) {
|
||
|
ASSERT_HOST (b_box.width () < page_image.get_xsize () &&
|
||
|
b_box.height () < page_image.get_ysize ());
|
||
|
|
||
|
if (b_box.width () > resolution || b_box.height () > resolution) {
|
||
|
tprintf ("clip sample: sample too big (%d x %d)\n",
|
||
|
b_box.width (), b_box.height ());
|
||
|
|
||
|
return NULL;
|
||
|
}
|
||
|
|
||
|
IMAGE *image = new (IMAGE);
|
||
|
if (image->create (b_box.width (), b_box.height (), 1) == -1) {
|
||
|
tprintf ("clip sample: create image failed (%d x %d)\n",
|
||
|
b_box.width (), b_box.height ());
|
||
|
|
||
|
delete image;
|
||
|
return NULL;
|
||
|
}
|
||
|
|
||
|
if (!white_on_black)
|
||
|
invert_image(image); // Set background to white
|
||
|
pixrow->char_clip_image (imlines, pix_box, NULL, *image, baseline_pos);
|
||
|
if (white_on_black)
|
||
|
invert_image(image); //invert white on black for scaling &NN
|
||
|
return new CHAR_SAMPLE (image, c);
|
||
|
}
|
||
|
else
|
||
|
return NULL;
|
||
|
}
|
||
|
|
||
|
|
||
|
#ifndef GRAPHICS_DISABLED
|
||
|
void display_cluster_prototypes(CHAR_SAMPLES_LIST *char_clusters) {
|
||
|
INT16 proto_number = 0;
|
||
|
CHAR_SAMPLES_IT c_it = char_clusters;
|
||
|
char title[WINDOWNAMESIZE];
|
||
|
|
||
|
for (c_it.mark_cycle_pt (); !c_it.cycled_list (); c_it.forward ()) {
|
||
|
proto_number++;
|
||
|
|
||
|
#ifndef SECURE_NAMES
|
||
|
tprintf ("Displaying proto number %d\n", proto_number);
|
||
|
#endif
|
||
|
|
||
|
if (c_it.data ()->prototype () != NULL) {
|
||
|
sprintf (title, "Proto - %d", proto_number);
|
||
|
display_image (c_it.data ()->prototype ()->make_image (),
|
||
|
title, (proto_number - 1) * 400, 0, FALSE);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
#endif
|
||
|
|
||
|
// *********************************************************************
|
||
|
// Simplistic routines to test the effect of rejecting ems and fullstops
|
||
|
// *********************************************************************
|
||
|
|
||
|
void reject_all_ems(WERD_RES *word) {
|
||
|
INT16 i;
|
||
|
|
||
|
for (i = 0; word->best_choice->string ()[i] != '\0'; i++) {
|
||
|
if (word->best_choice->string ()[i] == 'm')
|
||
|
// reject all ems
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
void reject_all_fullstops(WERD_RES *word) {
|
||
|
INT16 i;
|
||
|
|
||
|
for (i = 0; word->best_choice->string ()[i] != '\0'; i++) {
|
||
|
if (word->best_choice->string ()[i] == '.')
|
||
|
// reject all fullstops
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
void reject_suspect_ems(WERD_RES *word) {
|
||
|
INT16 i;
|
||
|
|
||
|
if (!word_adaptable (word, tessedit_cluster_adaption_mode))
|
||
|
for (i = 0; word->best_choice->string ()[i] != '\0'; i++) {
|
||
|
if (word->best_choice->string ()[i] == 'm' && suspect_em (word, i))
|
||
|
// reject all ems
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
void reject_suspect_fullstops(WERD_RES *word) {
|
||
|
INT16 i;
|
||
|
|
||
|
for (i = 0; word->best_choice->string ()[i] != '\0'; i++) {
|
||
|
if (word->best_choice->string ()[i] == '.'
|
||
|
&& suspect_fullstop (word, i))
|
||
|
// reject all commas
|
||
|
word->reject_map[i].setrej_mm_reject ();
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
BOOL8 suspect_em(WERD_RES *word, INT16 index) {
|
||
|
PBLOB_LIST *blobs = word->outword->blob_list ();
|
||
|
PBLOB_IT blob_it(blobs);
|
||
|
INT16 j;
|
||
|
|
||
|
for (j = 0; j < index; j++)
|
||
|
blob_it.forward ();
|
||
|
|
||
|
return (blob_it.data ()->out_list ()->length () != 1);
|
||
|
}
|
||
|
|
||
|
|
||
|
BOOL8 suspect_fullstop(WERD_RES *word, INT16 i) {
|
||
|
float aspect_ratio;
|
||
|
PBLOB_LIST *blobs = word->outword->blob_list ();
|
||
|
PBLOB_IT blob_it(blobs);
|
||
|
INT16 j;
|
||
|
BOX box;
|
||
|
INT16 width;
|
||
|
INT16 height;
|
||
|
|
||
|
for (j = 0; j < i; j++)
|
||
|
blob_it.forward ();
|
||
|
|
||
|
box = blob_it.data ()->bounding_box ();
|
||
|
|
||
|
width = box.width ();
|
||
|
height = box.height ();
|
||
|
|
||
|
aspect_ratio = ((width > height) ? ((float) width) / height :
|
||
|
((float) height) / width);
|
||
|
|
||
|
return (aspect_ratio > tessed_fullstop_aspect_ratio);
|
||
|
}
|