tesseract/wordrec/wordclass.cpp

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/* -*-C-*-
********************************************************************************
*
* File: wordclass.c (Formerly wordclass.c)
* Description: Word classifier
* Author: Mark Seaman, OCR Technology
* Created: Tue Jan 30 14:03:25 1990
* Modified: Fri Jul 12 16:03:06 1991 (Mark Seaman) marks@hpgrlt
* Language: C
* Package: N/A
* Status: Experimental (Do Not Distribute)
*
* (c) Copyright 1990, Hewlett-Packard Company.
** 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.
*
*********************************************************************************/
/*----------------------------------------------------------------------
I N C L U D E S
----------------------------------------------------------------------*/
#include <stdio.h>
#ifdef __UNIX__
#include <assert.h>
#endif
#include "wordclass.h"
#include "associate.h"
#include "render.h"
#include "matchtab.h"
#include "permute.h"
#include "callcpp.h"
#include <assert.h>
#include "wordrec.h"
// Include automatically generated configuration file if running autoconf.
#ifdef HAVE_CONFIG_H
#include "config_auto.h"
#endif
/*----------------------------------------------------------------------
F u n c t i o n s
----------------------------------------------------------------------*/
namespace tesseract {
/**
* @name classify_blob
*
* Classify the this blob if it is not already recorded in the match
* table. Attempt to recognize this blob as a character. The recognition
* rating for this blob will be stored as a part of the blob. This value
* will also be returned to the caller.
* @param blob Current blob
* @param string The string to display in ScrollView
* @param color The colour to use when displayed with ScrollView
*/
BLOB_CHOICE_LIST *Wordrec::classify_blob(TBLOB *blob,
const char *string, C_COL color) {
BLOB_CHOICE_LIST *choices = NULL;
#ifndef GRAPHICS_DISABLED
if (wordrec_display_all_blobs)
display_blob(blob, color);
#endif
choices = blob_match_table.get_match(blob);
if (choices == NULL) {
choices = call_matcher(blob);
blob_match_table.put_match(blob, choices);
}
#ifndef GRAPHICS_DISABLED
if (classify_debug_level && string)
print_ratings_list(string, choices, getDict().getUnicharset());
if (wordrec_blob_pause)
window_wait(blob_window);
#endif
return (choices);
}
// Returns a valid BLOB_CHOICE_LIST representing the given result.
BLOB_CHOICE_LIST *Wordrec::fake_classify_blob(UNICHAR_ID class_id,
float rating, float certainty) {
BLOB_CHOICE_LIST *ratings = new BLOB_CHOICE_LIST(); // matcher result
BLOB_CHOICE *choice = new BLOB_CHOICE(class_id, rating, certainty, -1, -1, 0);
BLOB_CHOICE_IT temp_it(ratings);
temp_it.add_after_stay_put(choice);
return ratings;
}
/**
* @name update_blob_classifications
*
* For each blob in the given word update match_table with the
* corresponding BLOB_CHOICES_LIST from choices.
*/
void Wordrec::update_blob_classifications(
TWERD *word, const BLOB_CHOICE_LIST_VECTOR &choices) {
TBLOB *tblob = word->blobs;
int index = 0;
for (; tblob != NULL && index < choices.length();
tblob = tblob->next, index++) {
blob_match_table.add_to_match(tblob, choices.get(index));
}
}
} // namespace tesseract;