tesseract/ccmain/osdetect.cpp
theraysmith 96e8b51feb More changes to ccmain for 3.00
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@287 d0cd1f9f-072b-0410-8dd7-cf729c803f20
2009-07-11 02:07:25 +00:00

428 lines
13 KiB
C++

///////////////////////////////////////////////////////////////////////
// File: osdetect.cpp
// Description: Orientation and script detection.
// Author: Samuel Charron
//
// (C) Copyright 2008, Google Inc.
// 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 "osdetect.h"
#include "strngs.h"
#include "blobbox.h"
#include "blread.h"
#include "tordmain.h"
#include "ratngs.h"
#include "oldlist.h"
#include "adaptmatch.h"
#include "tstruct.h"
#include "expandblob.h"
#include "tesseractclass.h"
#include "qrsequence.h"
extern IMAGE page_image;
const int kMinCharactersToTry = 50;
const int kMaxCharactersToTry = 5 * kMinCharactersToTry;
const float kSizeRatioToReject = 2.0;
const float kOrientationAcceptRatio = 1.3;
const float kScriptAcceptRatio = 1.3;
const float kHanRatioInKorean = 0.7;
const float kHanRatioInJapanese = 0.3;
const float kLatinRationInFraktur = 0.7;
const float kNonAmbiguousMargin = 1.0;
// General scripts
static const char* han_script = "Han";
static const char* latin_script = "Latin";
static const char* katakana_script = "Katakana";
static const char* hiragana_script = "Hiragana";
static const char* hangul_script = "Hangul";
// Pseudo-scripts Name
const char* ScriptDetector::korean_script_ = "Korean";
const char* ScriptDetector::japanese_script_ = "Japanese";
const char* ScriptDetector::fraktur_script_ = "Fraktur";
CLISTIZEH(BLOBNBOX);
CLISTIZE(BLOBNBOX);
// Find connected components in the page and process a subset until finished or
// a stopping criterion is met.
// Returns true if the page was successfully processed.
bool orientation_and_script_detection(STRING& filename,
OSResults* osr,
tesseract::Tesseract* tess) {
STRING name = filename; //truncated name
const char *lastdot; //of name
TO_BLOCK_LIST land_blocks, port_blocks;
BLOCK_LIST blocks;
TBOX page_box;
lastdot = strrchr (name.string (), '.');
if (lastdot != NULL)
name[lastdot-name.string()] = '\0';
if (!read_unlv_file(name, page_image.get_xsize(), page_image.get_ysize(),
&blocks))
FullPageBlock(page_image.get_xsize(), page_image.get_ysize(), &blocks);
find_components(&blocks, &land_blocks, &port_blocks, &page_box);
return os_detect(&port_blocks, osr, tess);
}
// Filter and sample the blobs.
// Returns true if the page was successfully processed, or false if the page had
// too few characters to be reliable
bool os_detect(TO_BLOCK_LIST* port_blocks, OSResults* osr,
tesseract::Tesseract* tess) {
int blobs_total = 0;
OSResults osr_;
if (osr == NULL)
osr = &osr_;
osr->unicharset = &tess->unicharset;
OrientationDetector o(osr);
ScriptDetector s(osr, tess);
TO_BLOCK_IT block_it;
block_it.set_to_list(port_blocks);
BLOBNBOX_CLIST filtered_list;
BLOBNBOX_C_IT filtered_it(&filtered_list);
for (block_it.mark_cycle_pt(); !block_it.cycled_list();
block_it.forward ()) {
TO_BLOCK* block = block_it.data();
BLOBNBOX_IT bbox_it;
bbox_it.set_to_list(&block->blobs);
for (bbox_it.mark_cycle_pt (); !bbox_it.cycled_list ();
bbox_it.forward ()) {
BLOBNBOX* bbox = bbox_it.data();
C_BLOB* blob = bbox->cblob();
TBOX box = blob->bounding_box();
++blobs_total;
float y_x = fabs((box.height() * 1.0) / box.width());
float x_y = 1.0f / y_x;
// Select a >= 1.0 ratio
float ratio = x_y > y_x ? x_y : y_x;
// Blob is ambiguous
if (ratio > kSizeRatioToReject) continue;
if (box.height() < 10) continue;
filtered_it.add_to_end(bbox);
}
}
if (filtered_it.length() > 0)
filtered_it.move_to_first();
int real_max = MIN(filtered_it.length(), kMaxCharactersToTry);
printf("Total blobs found = %d\n", blobs_total);
printf("Number of blobs post-filtering = %d\n", filtered_it.length());
printf("Number of blobs to try = %d\n", real_max);
// If there are too few characters, skip this page entirely.
if (real_max < kMinCharactersToTry / 2) {
printf("Too few characters. Skipping this page\n");
return false;
}
BLOBNBOX** blobs = new BLOBNBOX*[filtered_it.length()];
int number_of_blobs = 0;
for (filtered_it.mark_cycle_pt (); !filtered_it.cycled_list ();
filtered_it.forward ()) {
blobs[number_of_blobs++] = (BLOBNBOX*)filtered_it.data();
}
QRSequenceGenerator sequence(number_of_blobs);
for (int i = 0; i < real_max; ++i) {
if (os_detect_blob(blobs[sequence.GetVal()], &o, &s, osr, tess)
&& i > kMinCharactersToTry) {
break;
}
}
delete [] blobs;
// Make sure the best_result is up-to-date
int orientation = o.get_orientation();
s.update_best_script(orientation);
return true;
}
// Processes a single blob to estimate script and orientation.
// Return true if estimate of orientation and script satisfies stopping
// criteria.
bool os_detect_blob(BLOBNBOX* bbox, OrientationDetector* o,
ScriptDetector* s, OSResults* osr,
tesseract::Tesseract* tess) {
C_BLOB* blob = bbox->cblob();
TBOX box = blob->bounding_box();
int x_mid = (box.left() + box.right()) / 2.0f;
int y_mid = (box.bottom() + box.top()) / 2.0f;
PBLOB pblob(blob, box.height());
BLOB_CHOICE_LIST ratings[4];
// Test the 4 orientations
for (int i = 0; i < 4; ++i) {
// normalize the blob
pblob.move(FCOORD(-x_mid, -box.bottom()));
pblob.scale(static_cast<float>(bln_x_height) / box.height());
pblob.move(FCOORD(0.0f, bln_baseline_offset));
{
// List of choices given by the classifier
TBLOB *tessblob; //converted blob
TEXTROW tessrow; //dummy row
tess_cn_matching.set_value(true); // turn it on
tess_bn_matching.set_value(false);
//convert blob
tessblob = make_tess_blob (&pblob, TRUE);
//make dummy row
make_tess_row(NULL, &tessrow);
//classify
tess->AdaptiveClassifier (tessblob, NULL, &tessrow, ratings + i, NULL);
free_blob(tessblob);
}
// undo normalize
pblob.move(FCOORD(0.0f, -bln_baseline_offset));
pblob.scale(1.0f / (static_cast<float>(bln_x_height) / box.height()));
pblob.move(FCOORD(x_mid, box.bottom()));
// center the blob
pblob.move(FCOORD(-x_mid, -y_mid));
// Rotate it
pblob.rotate();
// Re-compute the mid
box = pblob.bounding_box();
x_mid = (box.left() + box.right()) / 2;
y_mid = (box.top() + box.bottom()) / 2;
// re-center in the new mid
pblob.move(FCOORD(x_mid, y_mid));
}
bool stop = o->detect_blob(ratings);
s->detect_blob(ratings);
int orientation = o->get_orientation();
stop = s->must_stop(orientation) && stop;
return stop;
}
OrientationDetector::OrientationDetector(OSResults* osr) {
osr_ = osr;
}
// Score the given blob and return true if it is now sure of the orientation
// after adding this block.
bool OrientationDetector::detect_blob(BLOB_CHOICE_LIST* scores) {
for (int i = 0; i < 4; ++i) {
BLOB_CHOICE_IT choice_it;
choice_it.set_to_list(scores + i);
if (!choice_it.empty()) {
osr_->orientations[i] += (100 + choice_it.data()->certainty());
}
}
float first = -1;
float second = -1;
int idx = -1;
for (int i = 0; i < 4; ++i) {
if (osr_->orientations[i] > first) {
idx = i;
second = first;
first = osr_->orientations[i];
} else if (osr_->orientations[i] > second) {
second = osr_->orientations[i];
}
}
return first / second > kOrientationAcceptRatio;
}
void OrientationDetector::update_best_orientation() {
float first = osr_->orientations[0];
float second = osr_->orientations[1];
if (first < second) {
second = first;
first = osr_->orientations[1];
}
osr_->best_result.orientation = 0;
osr_->best_result.oconfidence = 0;
for (int i = 0; i < 4; ++i) {
if (osr_->orientations[i] > first) {
second = first;
first = osr_->orientations[i];
osr_->best_result.orientation = i;
} else if (osr_->orientations[i] > second) {
second = osr_->orientations[i];
}
}
osr_->best_result.oconfidence =
(first / second - 1.0) / (kOrientationAcceptRatio - 1.0);
}
int OrientationDetector::get_orientation() {
update_best_orientation();
return osr_->best_result.orientation;
}
ScriptDetector::ScriptDetector(OSResults* osr, tesseract::Tesseract* tess) {
osr_ = osr;
tess_ = tess;
katakana_id_ = tess_->unicharset.add_script(katakana_script);
hiragana_id_ = tess_->unicharset.add_script(hiragana_script);
han_id_ = tess_->unicharset.add_script(han_script);
hangul_id_ = tess_->unicharset.add_script(hangul_script);
japanese_id_ = tess_->unicharset.add_script(japanese_script_);
korean_id_ = tess_->unicharset.add_script(korean_script_);
latin_id_ = tess_->unicharset.add_script(latin_script);
fraktur_id_ = tess_->unicharset.add_script(fraktur_script_);
}
// Score the given blob and return true if it is now sure of the script after
// adding this blob.
void ScriptDetector::detect_blob(BLOB_CHOICE_LIST* scores) {
bool done[kMaxNumberOfScripts];
for (int i = 0; i < 4; ++i) {
for (int j = 0; j < kMaxNumberOfScripts; ++j)
done[j] = false;
BLOB_CHOICE_IT choice_it;
choice_it.set_to_list(scores + i);
float prev_score = -1;
int script_count = 0;
int prev_id = -1;
int prev_script;
int prev_class_id = -1;
int prev_config = -1;
const char* prev_unichar = "";
const char* unichar = "";
float next_best_score = -1.0;
int next_best_script_id = -1;
const char* next_best_unichar = "";
for (choice_it.mark_cycle_pt(); !choice_it.cycled_list();
choice_it.forward()) {
BLOB_CHOICE* choice = choice_it.data();
int id = choice->script_id();
// Script already processed before.
if (done[id]) continue;
done[id] = true;
unichar = tess_->unicharset.id_to_unichar(choice->unichar_id());
// Save data from the first match
if (prev_score < 0) {
prev_score = -choice->certainty();
script_count = 1;
prev_id = id;
prev_script = choice->script_id();
prev_unichar = unichar;
prev_class_id = choice->unichar_id();
prev_config = choice->config();
} else if (-choice->certainty() < prev_score + kNonAmbiguousMargin) {
script_count++;
next_best_score = -choice->certainty();
next_best_script_id = choice->script_id();
next_best_unichar = tess_->unicharset.id_to_unichar(choice->unichar_id());
}
if (strlen(prev_unichar) == 1)
if (unichar[0] >= '0' && unichar[0] <= '9')
break;
// if script_count is >= 2, character is ambiguous, skip other matches
// since they are useless.
if (script_count >= 2)
break;
}
// Character is non ambiguous
if (script_count == 1) {
// Update the score of the winning script
osr_->scripts_na[i][prev_id] += 1;
// Workaround for Fraktur
if (prev_id == latin_id_) {
int font_set_id = tess_->PreTrainedTemplates->
Class[prev_class_id]->font_set_id;
if (font_set_id >= 0 && prev_config >= 0) {
FontInfo fi = tess_->get_fontinfo_table().get(
tess_->get_fontset_table().get(font_set_id).configs[prev_config]);
//printf("Font: %s i:%i b:%i f:%i s:%i k:%i (%s)\n", fi.name,
// fi.is_italic(), fi.is_bold(), fi.is_fixed_pitch(),
// fi.is_serif(), fi.is_fraktur(),
// prev_unichar);
if (fi.is_fraktur()) {
osr_->scripts_na[i][prev_id] -= 1;
osr_->scripts_na[i][fraktur_id_] += 1;
}
}
}
// Update Japanese / Korean pseudo-scripts
if (prev_id == katakana_id_)
osr_->scripts_na[i][japanese_id_] += 1;
if (prev_id == hiragana_id_)
osr_->scripts_na[i][japanese_id_] += 1;
if (prev_id == hangul_id_)
osr_->scripts_na[i][korean_id_] += 1;
if (prev_id == han_id_)
osr_->scripts_na[i][korean_id_] += kHanRatioInKorean;
if (prev_id == han_id_)
osr_->scripts_na[i][japanese_id_] += kHanRatioInJapanese;
}
} // iterate over each orientation
}
bool ScriptDetector::must_stop(int orientation) {
update_best_script(orientation);
return osr_->best_result.sconfidence > 1;
}
void ScriptDetector::update_best_script(int orientation) {
float first = -1;
float second = -1;
// i = 1 -> ignore Common scripts
for (int i = 1; i < kMaxNumberOfScripts; ++i) {
if (osr_->scripts_na[orientation][i] > first) {
osr_->best_result.script =
tess_->unicharset.get_script_from_script_id(i);
second = first;
first = osr_->scripts_na[orientation][i];
} else if (osr_->scripts_na[orientation][i] > second) {
second = osr_->scripts_na[orientation][i];
}
}
osr_->best_result.sconfidence =
(first / second - 1.0) / (kOrientationAcceptRatio - 1.0);
}