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tesseract/ccmain/docqual.cpp
theraysmith 109d1c8f21 Some changes in ccmain for 3.00 
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@286 d0cd1f9f-072b-0410-8dd7-cf729c803f20
2009-07-11 02:03:51 +00:00

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/******************************************************************
* File: docqual.cpp (Formerly docqual.c)
* Description: Document Quality Metrics
* Author: Phil Cheatle
* Created: Mon May 9 11:27:28 BST 1994
*
* (C) Copyright 1994, Hewlett-Packard Ltd.
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
** http://www.apache.org/licenses/LICENSE-2.0
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
*
**********************************************************************/
#include "mfcpch.h"
#include <ctype.h>
#include "docqual.h"
#include "tstruct.h"
#include "tfacep.h"
#include "reject.h"
#include "tessvars.h"
#include "genblob.h"
#include "secname.h"
#include "globals.h"
#include "tesseractclass.h"
#define EXTERN
EXTERN STRING_VAR (outlines_odd, "%| ", "Non standard number of outlines");
EXTERN STRING_VAR (outlines_2, "ij!?%\":;",
"Non standard number of outlines");
EXTERN BOOL_VAR (docqual_excuse_outline_errs, FALSE,
"Allow outline errs in unrejection?");
EXTERN BOOL_VAR (tessedit_good_quality_unrej, TRUE,
"Reduce rejection on good docs");
EXTERN BOOL_VAR (tessedit_use_reject_spaces, TRUE, "Reject spaces?");
EXTERN double_VAR (tessedit_reject_doc_percent, 65.00,
"%rej allowed before rej whole doc");
EXTERN double_VAR (tessedit_reject_block_percent, 45.00,
"%rej allowed before rej whole block");
EXTERN double_VAR (tessedit_reject_row_percent, 40.00,
"%rej allowed before rej whole row");
EXTERN double_VAR (tessedit_whole_wd_rej_row_percent, 70.00,
"%of row rejects in whole word rejects which prevents whole row rejection");
EXTERN BOOL_VAR (tessedit_preserve_blk_rej_perfect_wds, TRUE,
"Only rej partially rejected words in block rejection");
EXTERN BOOL_VAR (tessedit_preserve_row_rej_perfect_wds, TRUE,
"Only rej partially rejected words in row rejection");
EXTERN BOOL_VAR (tessedit_dont_blkrej_good_wds, FALSE,
"Use word segmentation quality metric");
EXTERN BOOL_VAR (tessedit_dont_rowrej_good_wds, FALSE,
"Use word segmentation quality metric");
EXTERN INT_VAR (tessedit_preserve_min_wd_len, 2,
"Only preserve wds longer than this");
EXTERN BOOL_VAR (tessedit_row_rej_good_docs, TRUE,
"Apply row rejection to good docs");
EXTERN double_VAR (tessedit_good_doc_still_rowrej_wd, 1.1,
"rej good doc wd if more than this fraction rejected");
EXTERN BOOL_VAR (tessedit_reject_bad_qual_wds, TRUE,
"Reject all bad quality wds");
EXTERN BOOL_VAR (tessedit_debug_doc_rejection, FALSE, "Page stats");
EXTERN BOOL_VAR (tessedit_debug_quality_metrics, FALSE,
"Output data to debug file");
EXTERN BOOL_VAR (bland_unrej, FALSE, "unrej potential with no chekcs");
EXTERN double_VAR (quality_rowrej_pc, 1.1,
"good_quality_doc gte good char limit");
EXTERN BOOL_VAR (unlv_tilde_crunching, TRUE,
"Mark v.bad words for tilde crunch");
EXTERN BOOL_VAR (crunch_early_merge_tess_fails, TRUE, "Before word crunch?");
EXTERN BOOL_EVAR (crunch_early_convert_bad_unlv_chs, FALSE,
"Take out ~^ early?");
EXTERN double_VAR (crunch_terrible_rating, 80.0, "crunch rating lt this");
EXTERN BOOL_VAR (crunch_terrible_garbage, TRUE, "As it says");
EXTERN double_VAR (crunch_poor_garbage_cert, -9.0,
"crunch garbage cert lt this");
EXTERN double_VAR (crunch_poor_garbage_rate, 60,
"crunch garbage rating lt this");
EXTERN double_VAR (crunch_pot_poor_rate, 40,
"POTENTIAL crunch rating lt this");
EXTERN double_VAR (crunch_pot_poor_cert, -8.0,
"POTENTIAL crunch cert lt this");
EXTERN BOOL_VAR (crunch_pot_garbage, TRUE, "POTENTIAL crunch garbage");
EXTERN double_VAR (crunch_del_rating, 60, "POTENTIAL crunch rating lt this");
EXTERN double_VAR (crunch_del_cert, -10.0, "POTENTIAL crunch cert lt this");
EXTERN double_VAR (crunch_del_min_ht, 0.7, "Del if word ht lt xht x this");
EXTERN double_VAR (crunch_del_max_ht, 3.0, "Del if word ht gt xht x this");
EXTERN double_VAR (crunch_del_min_width, 3.0,
"Del if word width lt xht x this");
EXTERN double_VAR (crunch_del_high_word, 1.5,
"Del if word gt xht x this above bl");
EXTERN double_VAR (crunch_del_low_word, 0.5,
"Del if word gt xht x this below bl");
EXTERN double_VAR (crunch_small_outlines_size, 0.6, "Small if lt xht x this");
EXTERN INT_VAR (crunch_rating_max, 10, "For adj length in rating per ch");
EXTERN INT_VAR (crunch_pot_indicators, 1,
"How many potential indicators needed");
EXTERN BOOL_VAR (crunch_leave_ok_strings, TRUE,
"Dont touch sensible strings");
EXTERN BOOL_VAR (crunch_accept_ok, TRUE, "Use acceptability in okstring");
EXTERN BOOL_VAR (crunch_leave_accept_strings, FALSE,
"Dont pot crunch sensible strings");
EXTERN BOOL_VAR (crunch_include_numerals, FALSE, "Fiddle alpha figures");
EXTERN INT_VAR (crunch_leave_lc_strings, 4,
"Dont crunch words with long lower case strings");
EXTERN INT_VAR (crunch_leave_uc_strings, 4,
"Dont crunch words with long lower case strings");
EXTERN INT_VAR (crunch_long_repetitions, 3,
"Crunch words with long repetitions");
EXTERN INT_VAR (crunch_debug, 0, "As it says");
/*************************************************************************
* word_blob_quality()
* How many blobs in the outword are identical to those of the inword?
* ASSUME blobs in both initial word and outword are in ascending order of
* left hand blob edge.
*************************************************************************/
inT16 word_blob_quality( //Blob seg changes
WERD_RES *word,
ROW *row) {
WERD *bln_word; //BL norm init word
TWERD *tessword; //tess format
WERD *init_word; //BL norm init word
PBLOB_IT outword_it;
PBLOB_IT initial_it;
inT16 i;
inT16 init_blobs_left;
inT16 match_count = 0;
BOOL8 matched;
TBOX out_box;
PBLOB *test_blob;
DENORM denorm;
float bln_xht;
if (word->word->gblob_list ()->empty ())
return 0;
//xht used for blnorm
bln_xht = bln_x_height / word->denorm.scale ();
bln_word = make_bln_copy(word->word, row, NULL, bln_xht, &denorm);
/*
NOTE: Need to convert to tess format and back again to ensure that the
same float -> int rounding of coords is done to source wd as out wd before
comparison
*/
tessword = make_tess_word(bln_word, NULL); // Convert word.
init_word = make_ed_word(tessword, bln_word);
delete bln_word;
delete_word(tessword);
if (init_word == NULL) {
// Conversion failed.
return 0;
}
initial_it.set_to_list(init_word->blob_list());
init_blobs_left = initial_it.length();
outword_it.set_to_list(word->outword->blob_list());
for (outword_it.mark_cycle_pt();
!outword_it.cycled_list(); outword_it.forward()) {
out_box = outword_it.data()->bounding_box();
// Skip any initial blobs LEFT of current outword blob.
while (!initial_it.at_last() &&
(initial_it.data()->bounding_box().left() < out_box.left())) {
initial_it.forward();
init_blobs_left--;
}
/* See if current outword blob matches any initial blob with the same left
coord. (Normally only one but possibly more - in unknown order) */
i = 0;
matched = FALSE;
do {
test_blob = initial_it.data_relative (i++);
matched = crude_match_blobs (test_blob, outword_it.data ());
if (matched)
match_count++;
}
while (!matched &&
(init_blobs_left - i > 0) &&
(i < 129) &&
!initial_it.at_last() &&
test_blob->bounding_box().left() == out_box.left());
}
delete init_word;
return match_count;
}
/*************************************************************************
* crude_match_blobs()
* Check bounding boxes are the same and the number of outlines are the same.
*************************************************************************/
BOOL8 crude_match_blobs(PBLOB *blob1, PBLOB *blob2) {
TBOX box1 = blob1->bounding_box();
TBOX box2 = blob2->bounding_box();
if (box1.contains(box2) &&
box2.contains(box1) &&
(blob1->out_list()->length() == blob1->out_list()->length()))
return TRUE;
else
return FALSE;
}
inT16 word_outline_errs(WERD_RES *word) {
PBLOB_IT outword_it;
inT16 i = 0;
inT16 err_count = 0;
outword_it.set_to_list(word->outword->blob_list());
for (outword_it.mark_cycle_pt();
!outword_it.cycled_list(); outword_it.forward()) {
err_count += count_outline_errs(word->best_choice->unichar_string()[i],
outword_it.data()->out_list()->length());
i++;
}
return err_count;
}
/*************************************************************************
* word_char_quality()
* Combination of blob quality and outline quality - how many good chars are
* there? - I.e chars which pass the blob AND outline tests.
*************************************************************************/
void word_char_quality(WERD_RES *word,
ROW *row,
inT16 *match_count,
inT16 *accepted_match_count) {
WERD *bln_word; // BL norm init word
TWERD *tessword; // tess format
WERD *init_word; // BL norm init word
PBLOB_IT outword_it;
PBLOB_IT initial_it;
inT16 i;
inT16 init_blobs_left;
BOOL8 matched;
TBOX out_box;
PBLOB *test_blob;
DENORM denorm;
float bln_xht;
inT16 j = 0;
*match_count = 0;
*accepted_match_count = 0;
if (word->word->gblob_list ()->empty ())
return;
// xht used for blnorm
bln_xht = bln_x_height / word->denorm.scale();
bln_word = make_bln_copy(word->word, row, NULL, bln_xht, &denorm);
/*
NOTE: Need to convert to tess format and back again to ensure that the
same float -> int rounding of coords is done to source wd as out wd before
comparison
*/
tessword = make_tess_word(bln_word, NULL); // Convert word.
init_word = make_ed_word(tessword, bln_word);
delete bln_word;
delete_word(tessword);
if (init_word == NULL)
return;
initial_it.set_to_list(init_word->blob_list());
init_blobs_left = initial_it.length();
outword_it.set_to_list(word->outword->blob_list());
for (outword_it.mark_cycle_pt();
!outword_it.cycled_list(); outword_it.forward()) {
out_box = outword_it.data()->bounding_box();
/* Skip any initial blobs LEFT of current outword blob */
while (!initial_it.at_last() &&
(initial_it.data()->bounding_box().left() < out_box.left())) {
initial_it.forward();
init_blobs_left--;
}
/* See if current outword blob matches any initial blob with the same left
coord. (Normally only one but possibly more - in unknown order) */
i = 0;
matched = FALSE;
do {
test_blob = initial_it.data_relative(i++);
matched = crude_match_blobs(test_blob, outword_it.data());
if (matched &&
(count_outline_errs (word->best_choice->unichar_string()[j],
outword_it.data ()->out_list ()->length ())
== 0)) {
(*match_count)++;
if (word->reject_map[j].accepted ())
(*accepted_match_count)++;
}
}
while (!matched &&
(init_blobs_left - i > 0) &&
(i < 129) &&
!initial_it.at_last() &&
test_blob->bounding_box().left() == out_box.left());
j++;
}
delete init_word;
}
/*************************************************************************
* unrej_good_chs()
* Unreject POTENTIAL rejects if the blob passes the blob and outline checks
*************************************************************************/
void unrej_good_chs(WERD_RES *word, ROW *row) {
WERD *bln_word; // BL norm init word
TWERD *tessword; // tess format
WERD *init_word; // BL norm init word
PBLOB_IT outword_it;
PBLOB_IT initial_it;
inT16 i;
inT16 init_blobs_left;
BOOL8 matched;
TBOX out_box;
PBLOB *test_blob;
DENORM denorm;
float bln_xht;
inT16 j = 0;
if (word->word->gblob_list ()->empty ())
return;
// xht used for blnorm
bln_xht = bln_x_height / word->denorm.scale ();
bln_word = make_bln_copy(word->word, row, NULL, bln_xht, &denorm);
/*
NOTE: Need to convert to tess format and back again to ensure that the
same float -> int rounding of coords is done to source wd as out wd before
comparison
*/
tessword = make_tess_word(bln_word, NULL); // Convert word
init_word = make_ed_word(tessword, bln_word);
delete bln_word;
delete_word(tessword);
if (init_word == NULL)
return;
initial_it.set_to_list (init_word->blob_list ());
init_blobs_left = initial_it.length ();
outword_it.set_to_list (word->outword->blob_list ());
for (outword_it.mark_cycle_pt ();
!outword_it.cycled_list (); outword_it.forward ()) {
out_box = outword_it.data ()->bounding_box ();
/* Skip any initial blobs LEFT of current outword blob */
while (!initial_it.at_last () &&
(initial_it.data ()->bounding_box ().left () < out_box.left ())) {
initial_it.forward ();
init_blobs_left--;
}
/* See if current outword blob matches any initial blob with the same left
coord. (Normally only one but possibly more - in unknown order) */
i = 0;
matched = FALSE;
do {
test_blob = initial_it.data_relative (i++);
matched = crude_match_blobs (test_blob, outword_it.data ());
if (matched &&
(word->reject_map[j].accept_if_good_quality ()) &&
(docqual_excuse_outline_errs ||
(count_outline_errs (word->best_choice->unichar_string()[j],
outword_it.data ()->out_list ()->
length ()) == 0)))
word->reject_map[j].setrej_quality_accept ();
}
while (!matched &&
(init_blobs_left - i > 0) &&
(i < 129) &&
!initial_it.at_last () &&
test_blob->bounding_box ().left () == out_box.left ());
j++;
}
delete init_word;
}
void print_boxes(WERD *word) {
PBLOB_IT it;
TBOX box;
it.set_to_list (word->blob_list ());
for (it.mark_cycle_pt (); !it.cycled_list (); it.forward ()) {
box = it.data ()->bounding_box ();
box.print ();
}
}
inT16 count_outline_errs(char c, inT16 outline_count) {
int expected_outline_count;
if (STRING (outlines_odd).contains (c))
return 0; //Dont use this char
else if (STRING (outlines_2).contains (c))
expected_outline_count = 2;
else
expected_outline_count = 1;
return abs (outline_count - expected_outline_count);
}
namespace tesseract {
void Tesseract::quality_based_rejection(PAGE_RES_IT &page_res_it,
BOOL8 good_quality_doc) {
if ((tessedit_good_quality_unrej && good_quality_doc))
unrej_good_quality_words(page_res_it);
doc_and_block_rejection(page_res_it, good_quality_doc);
page_res_it.restart_page ();
while (page_res_it.word () != NULL) {
insert_rej_cblobs(page_res_it.word());
page_res_it.forward();
}
if (unlv_tilde_crunching) {
tilde_crunch(page_res_it);
tilde_delete(page_res_it);
}
}
/*************************************************************************
* unrej_good_quality_words()
* Accept potential rejects in words which pass the following checks:
* - Contains a potential reject
* - 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
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