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195 lines
6.1 KiB
C++
195 lines
6.1 KiB
C++
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/* -*-C-*-
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********************************************************************************
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*
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* File: heuristic.c (Formerly heuristic.c)
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* Description:
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* Author: Mark Seaman, OCR Technology
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* Created: Fri Oct 16 14:37:00 1987
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* Modified: Wed Jul 10 14:15:08 1991 (Mark Seaman) marks@hpgrlt
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* Language: C
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* Package: N/A
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* Status: Reusable Software Component
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*
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* (c) Copyright 1987, Hewlett-Packard Company.
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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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/*----------------------------------------------------------------------
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I n c l u d e s
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----------------------------------------------------------------------*/
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#include "heuristic.h"
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#include "baseline.h"
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#include "metrics.h"
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#include "freelist.h"
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#include <math.h>
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/*----------------------------------------------------------------------
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M a c r o s
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----------------------------------------------------------------------*/
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#define MAX_SQUAT 2.0 /* Width ratio */
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#define BAD_RATING 1000.0 /* No valid blob */
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/*----------------------------------------------------------------------
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F u n c t i o n s
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----------------------------------------------------------------------*/
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/**********************************************************************
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* prioritize_state
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*
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* Create a priority for this state. It represents the urgency of
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* checking this state.
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**********************************************************************/
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FLOAT32 prioritize_state(CHUNKS_RECORD *chunks_record,
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SEARCH_RECORD *the_search,
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STATE *old_state) {
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FLOAT32 width_pri;
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FLOAT32 match_pri;
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match_pri = rating_priority (chunks_record, the_search->this_state,
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old_state, the_search->num_joints);
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width_pri = width_priority (chunks_record, the_search->this_state,
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the_search->num_joints) * 1000.0;
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record_priorities(the_search, old_state, match_pri, width_pri);
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return (width_pri + match_pri);
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}
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/**********************************************************************
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* rating_priority
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*
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* Assign a segmentation priority based on the ratings of the blobs
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* (in that segmentation) that have been classified. The average
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* "goodness" (i.e. rating / weight) for each blob is used to indicate
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* the segmentation priority.
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**********************************************************************/
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FLOAT32 rating_priority(CHUNKS_RECORD *chunks_record,
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STATE *state,
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STATE *old_state,
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int num_joints) {
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PIECES_STATE blob_chunks;
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INT16 x;
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INT16 y;
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CHOICES this_choice;
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INT16 first_chunk = 0;
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INT16 last_chunk;
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INT16 ratings = 0;
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INT16 weights = 0;
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bin_to_pieces(state, num_joints, blob_chunks);
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for (x = 0; blob_chunks[x]; x++) {
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// Iterate each blob
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last_chunk = first_chunk + blob_chunks[x] - 1;
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this_choice = matrix_get (chunks_record->ratings,
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first_chunk, last_chunk);
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if (this_choice == NIL)
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return (BAD_RATING);
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if (this_choice != NOT_CLASSIFIED) {
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ratings += (INT16) best_probability (this_choice);
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for (y = first_chunk; y <= last_chunk; y++) {
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weights += (INT16) (chunks_record->weights[y]);
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}
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}
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first_chunk += blob_chunks[x];
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}
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if (weights <= 0)
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weights = 1;
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return ((FLOAT32) ratings / weights);
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}
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/**********************************************************************
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* state_char_widths
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*
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* Return a character width record corresponding to the character
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* width that will be generated in this segmentation state.
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**********************************************************************/
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WIDTH_RECORD *state_char_widths(WIDTH_RECORD *chunk_widths,
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STATE *state,
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int num_joints,
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SEARCH_STATE *search_state) {
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WIDTH_RECORD *width_record;
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int num_blobs;
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int x;
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int y;
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int i;
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SEARCH_STATE new_chunks;
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new_chunks = bin_to_chunks (state, num_joints);
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num_blobs = new_chunks[0] + 1;
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width_record = (WIDTH_RECORD *) memalloc (sizeof (int) * num_blobs * 2);
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width_record->num_chars = num_blobs;
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x = 0;
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for (i = 1; i <= new_chunks[0] + 1; i++) {
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if (i > new_chunks[0])
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y = num_joints;
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else
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y = x + new_chunks[i];
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width_record->widths[2 * i - 2] = chunks_width (chunk_widths, x, y);
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if (i <= new_chunks[0])
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width_record->widths[2 * i - 1] = chunks_gap (chunk_widths, y);
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x = y + 1;
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}
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*search_state = new_chunks;
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return (width_record);
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}
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/**********************************************************************
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* width_priority
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*
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* Return a priority value for this word segmentation based on the
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* character widths present in the new segmentation.
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**********************************************************************/
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FLOAT32 width_priority(CHUNKS_RECORD *chunks_record,
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STATE *state,
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int num_joints) {
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SEARCH_STATE new_chunks;
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FLOAT32 result = 0.0;
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WIDTH_RECORD *width_record;
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FLOAT32 squat;
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int x;
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width_record = state_char_widths (chunks_record->chunk_widths,
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state, num_joints, &new_chunks);
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for (x = 0; x < width_record->num_chars; x++) {
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squat = width_record->widths[2 * x];
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if (!baseline_enable) {
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squat /= chunks_record->row->lineheight;
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}
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else {
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squat /= BASELINE_SCALE;
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}
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if (squat > MAX_SQUAT)
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result += squat - MAX_SQUAT;
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}
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memfree(new_chunks);
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free_widths(width_record);
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return (result);
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}
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