tesseract/ccmain/tessbox.cpp

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/**********************************************************************
* File: tessbox.cpp (Formerly tessbox.c)
* Description: Black boxed Tess for developing a resaljet.
* Author: Ray Smith
* Created: Thu Apr 23 11:03:36 BST 1992
*
* (C) Copyright 1992, 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 "tfacep.h"
#include "tfacepp.h"
#include "tessbox.h"
#include "mfoutline.h"
#define EXTERN
/**********************************************************************
* tess_segment_pass1
*
* Segment a word using the pass1 conditions of the tess segmenter.
**********************************************************************/
WERD_CHOICE *tess_segment_pass1( //recog one word
WERD *word, //bln word to do
DENORM *denorm, //de-normaliser
POLY_MATCHER matcher, //matcher function
WERD_CHOICE *&raw_choice, //raw result //list of blob lists
BLOB_CHOICE_LIST_CLIST *blob_choices,
WERD *&outword //bln word output
) {
WERD_CHOICE *result; //return value
int saved_enable_assoc = 0;
int saved_chop_enable = 0;
if (word->flag (W_DONT_CHOP)) {
saved_enable_assoc = enable_assoc;
saved_chop_enable = chop_enable;
enable_assoc = 0;
chop_enable = 0;
if (word->flag (W_REP_CHAR))
permute_only_top = 1;
}
set_pass1();
// tprintf("pass1 chop on=%d, seg=%d, onlytop=%d",chop_enable,enable_assoc,permute_only_top);
result = recog_word (word, denorm, matcher, NULL, NULL, FALSE,
raw_choice, blob_choices, outword);
if (word->flag (W_DONT_CHOP)) {
enable_assoc = saved_enable_assoc;
chop_enable = saved_chop_enable;
permute_only_top = 0;
}
return result;
}
/**********************************************************************
* tess_segment_pass2
*
* Segment a word using the pass2 conditions of the tess segmenter.
**********************************************************************/
WERD_CHOICE *tess_segment_pass2( //recog one word
WERD *word, //bln word to do
DENORM *denorm, //de-normaliser
POLY_MATCHER matcher, //matcher function
WERD_CHOICE *&raw_choice, //raw result //list of blob lists
BLOB_CHOICE_LIST_CLIST *blob_choices,
WERD *&outword //bln word output
) {
WERD_CHOICE *result; //return value
int saved_enable_assoc = 0;
int saved_chop_enable = 0;
if (word->flag (W_DONT_CHOP)) {
saved_enable_assoc = enable_assoc;
saved_chop_enable = chop_enable;
enable_assoc = 0;
chop_enable = 0;
if (word->flag (W_REP_CHAR))
permute_only_top = 1;
}
set_pass2();
result = recog_word (word, denorm, matcher, NULL, NULL, FALSE,
raw_choice, blob_choices, outword);
if (word->flag (W_DONT_CHOP)) {
enable_assoc = saved_enable_assoc;
chop_enable = saved_chop_enable;
permute_only_top = 0;
}
return result;
}
/**********************************************************************
* correct_segment_pass2
*
* Segment a word correctly using the pass2 conditions of the tess segmenter.
* Then call the tester with all the correctly segmented blobs.
* If the correct segmentation cannot be found, the tester is called
* with the segmentation found by tess and all the correct flags set to
* false and all strings are NULL.
**********************************************************************/
WERD_CHOICE *correct_segment_pass2( //recog one word
WERD *word, //bln word to do
DENORM *denorm, //de-normaliser
POLY_MATCHER matcher, //matcher function
POLY_TESTER tester, //tester function
WERD_CHOICE *&raw_choice, //raw result //list of blob lists
BLOB_CHOICE_LIST_CLIST *blob_choices,
WERD *&outword //bln word output
) {
set_pass2();
return recog_word (word, denorm, matcher, NULL, tester, TRUE,
raw_choice, blob_choices, outword);
}
/**********************************************************************
* test_segment_pass2
*
* Segment a word correctly using the pass2 conditions of the tess segmenter.
* Then call the tester on all words used by tess in its search.
* Do this only on words where the correct segmentation could be found.
**********************************************************************/
WERD_CHOICE *test_segment_pass2( //recog one word
WERD *word, //bln word to do
DENORM *denorm, //de-normaliser
POLY_MATCHER matcher, //matcher function
POLY_TESTER tester, //tester function
WERD_CHOICE *&raw_choice, //raw result //list of blob lists
BLOB_CHOICE_LIST_CLIST *blob_choices,
WERD *&outword //bln word output
) {
set_pass2();
return recog_word (word, denorm, matcher, tester, NULL, TRUE,
raw_choice, blob_choices, outword);
}
/**********************************************************************
* tess_acceptable_word
*
* Return true if the word is regarded as "good enough".
**********************************************************************/
BOOL8 tess_acceptable_word( //test acceptability
WERD_CHOICE *word_choice, //after context
WERD_CHOICE *raw_choice //before context
) {
A_CHOICE choice; //after context
A_CHOICE tess_raw; //before
choice.rating = word_choice->rating ();
choice.certainty = word_choice->certainty ();
choice.string = (char *) word_choice->string ().string ();
tess_raw.rating = raw_choice->rating ();
tess_raw.certainty = raw_choice->certainty ();
tess_raw.string = (char *) raw_choice->string ().string ();
//call tess
return AcceptableResult (&choice, &tess_raw);
}
/**********************************************************************
* tess_adaptable_word
*
* Return true if the word is regarded as "good enough".
**********************************************************************/
BOOL8 tess_adaptable_word( //test adaptability
WERD *word, //word to test
WERD_CHOICE *word_choice, //after context
WERD_CHOICE *raw_choice //before context
) {
TWERD *tessword; //converted word
INT32 result; //answer
tessword = make_tess_word (word, NULL);
result = AdaptableWord (tessword, word_choice->string ().string (),
raw_choice->string ().string ());
delete_word(tessword);
return result != 0;
}
/**********************************************************************
* tess_cn_matcher
*
* Match a blob using the Tess Char Normalized (non-adaptive) matcher
* only.
**********************************************************************/
void tess_cn_matcher( //call tess
PBLOB *pblob, //previous blob
PBLOB *blob, //blob to match
PBLOB *nblob, //next blob
WERD *word, //word it came from
DENORM *denorm, //de-normaliser
BLOB_CHOICE_LIST &ratings //list of results
) {
LIST result; //tess output
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
tess_cn_matching = TRUE; //turn it on
tess_bn_matching = FALSE;
//convert blob
tessblob = make_tess_blob (blob, TRUE);
//make dummy row
make_tess_row(denorm, &tessrow);
//classify
result = AdaptiveClassifier (tessblob, NULL, &tessrow);
free_blob(tessblob);
//make our format
convert_choice_list(result, ratings);
}
/**********************************************************************
* tess_bn_matcher
*
* Match a blob using the Tess Baseline Normalized (adaptive) matcher
* only.
**********************************************************************/
void tess_bn_matcher( //call tess
PBLOB *pblob, //previous blob
PBLOB *blob, //blob to match
PBLOB *nblob, //next blob
WERD *word, //word it came from
DENORM *denorm, //de-normaliser
BLOB_CHOICE_LIST &ratings //list of results
) {
LIST result; //tess output
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
tess_bn_matching = TRUE; //turn it on
tess_cn_matching = FALSE;
//convert blob
tessblob = make_tess_blob (blob, TRUE);
//make dummy row
make_tess_row(denorm, &tessrow);
//classify
result = AdaptiveClassifier (tessblob, NULL, &tessrow);
free_blob(tessblob);
//make our format
convert_choice_list(result, ratings);
}
/**********************************************************************
* tess_default_matcher
*
* Match a blob using the default functionality of the Tess matcher.
**********************************************************************/
void tess_default_matcher( //call tess
PBLOB *pblob, //previous blob
PBLOB *blob, //blob to match
PBLOB *nblob, //next blob
WERD *word, //word it came from
DENORM *denorm, //de-normaliser
BLOB_CHOICE_LIST &ratings //list of results
) {
LIST result; //tess output
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
tess_bn_matching = FALSE; //turn it off
tess_cn_matching = FALSE;
//convert blob
tessblob = make_tess_blob (blob, TRUE);
//make dummy row
make_tess_row(denorm, &tessrow);
//classify
result = AdaptiveClassifier (tessblob, NULL, &tessrow);
free_blob(tessblob);
//make our format
convert_choice_list(result, ratings);
}
/**********************************************************************
* tess_training_tester
*
* Matcher tester function which actually trains tess.
**********************************************************************/
void tess_training_tester( //call tess
PBLOB *blob, //blob to match
DENORM *denorm, //de-normaliser
BOOL8 correct, //ly segmented
char *text, //correct text
INT32 count, //chars in text
BLOB_CHOICE_LIST *ratings //list of results
) {
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
if (correct) {
NormMethod = character; //Force char norm spc 30/11/93
tess_bn_matching = FALSE; //turn it off
tess_cn_matching = FALSE;
//convert blob
tessblob = make_tess_blob (blob, TRUE);
//make dummy row
make_tess_row(denorm, &tessrow);
//learn it
LearnBlob(tessblob, &tessrow, text, count);
free_blob(tessblob);
}
}
/**********************************************************************
* tess_adapter
*
* Adapt to the word using the Tesseract mechanism.
**********************************************************************/
void tess_adapter( //adapt to word
WERD *word, //bln word
DENORM *denorm, //de-normalise
const char *string, //string for word
const char *raw_string, //before context
const char *rejmap //reject map
) {
TWERD *tessword; //converted word
static TEXTROW tessrow; //dummy row
//make dummy row
make_tess_row(denorm, &tessrow);
//make a word
tessword = make_tess_word (word, &tessrow);
AdaptToWord(tessword, &tessrow, string, raw_string, rejmap);
//adapt to it
delete_word(tessword); //free it
}
/**********************************************************************
* tess_add_doc_word
*
* Add the given word to the document dictionary
**********************************************************************/
void tess_add_doc_word( //test acceptability
WERD_CHOICE *word_choice //after context
) {
A_CHOICE choice; //after context
choice.rating = word_choice->rating ();
choice.certainty = word_choice->certainty ();
choice.string = (char *) word_choice->string ().string ();
add_document_word(&choice);
}