/////////////////////////////////////////////////////////////////////// // File: osdetect.cpp // Description: Orientation and script detection. // Author: Samuel Charron // Ranjith Unnikrishnan // // (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 "blobbox.h" #include "blread.h" #include "colfind.h" #include "fontinfo.h" #include "imagefind.h" #include "linefind.h" #include "oldlist.h" #include "qrsequence.h" #include "ratngs.h" #include "strngs.h" #include "tabvector.h" #include "tesseractclass.h" #include "textord.h" const int kMinCharactersToTry = 50; const int kMaxCharactersToTry = 5 * kMinCharactersToTry; const float kSizeRatioToReject = 2.0; const int kMinAcceptableBlobHeight = 10; const float kOrientationAcceptRatio = 1.3; const float kScriptAcceptRatio = 1.3; const float kHanRatioInKorean = 0.7; const float kHanRatioInJapanese = 0.3; 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"; // Minimum believable resolution. const int kMinCredibleResolution = 70; // Default resolution used if input is not believable. const int kDefaultResolution = 300; void OSResults::update_best_orientation() { float first = orientations[0]; float second = orientations[1]; best_result.orientation_id = 0; if (orientations[0] < orientations[1]) { first = orientations[1]; second = orientations[0]; best_result.orientation_id = 1; } for (int i = 2; i < 4; ++i) { if (orientations[i] > first) { second = first; first = orientations[i]; best_result.orientation_id = i; } else if (orientations[i] > second) { second = orientations[i]; } } // Store difference of top two orientation scores. best_result.oconfidence = first - second; } void OSResults::set_best_orientation(int orientation_id) { best_result.orientation_id = orientation_id; best_result.oconfidence = 0; } void OSResults::update_best_script(int orientation) { // We skip index 0 to ignore the "Common" script. float first = scripts_na[orientation][1]; float second = scripts_na[orientation][2]; best_result.script_id = 1; if (scripts_na[orientation][1] < scripts_na[orientation][2]) { first = scripts_na[orientation][2]; second = scripts_na[orientation][1]; best_result.script_id = 2; } for (int i = 3; i < kMaxNumberOfScripts; ++i) { if (scripts_na[orientation][i] > first) { best_result.script_id = i; second = first; first = scripts_na[orientation][i]; } else if (scripts_na[orientation][i] > second) { second = scripts_na[orientation][i]; } } best_result.sconfidence = (first / second - 1.0) / (kScriptAcceptRatio - 1.0); } int OSResults::get_best_script(int orientation_id) const { int max_id = -1; for (int j = 0; j < kMaxNumberOfScripts; ++j) { const char *script = unicharset->get_script_from_script_id(j); if (strcmp(script, "Common") && strcmp(script, "NULL")) { if (max_id == -1 || scripts_na[orientation_id][j] > scripts_na[orientation_id][max_id]) max_id = j; } } return max_id; } // Print the script scores for all possible orientations. void OSResults::print_scores(void) const { for (int i = 0; i < 4; ++i) { tprintf("Orientation id #%d", i); print_scores(i); } } // Print the script scores for the given candidate orientation. void OSResults::print_scores(int orientation_id) const { for (int j = 0; j < kMaxNumberOfScripts; ++j) { if (scripts_na[orientation_id][j]) { tprintf("%12s\t: %f\n", unicharset->get_script_from_script_id(j), scripts_na[orientation_id][j]); } } } // Accumulate scores with given OSResults instance and update the best script. void OSResults::accumulate(const OSResults& osr) { for (int i = 0; i < 4; ++i) { orientations[i] += osr.orientations[i]; for (int j = 0; j < kMaxNumberOfScripts; ++j) scripts_na[i][j] += osr.scripts_na[i][j]; } unicharset = osr.unicharset; update_best_orientation(); update_best_script(best_result.orientation_id); } // Detect and erase horizontal/vertical lines and picture regions from the // image, so that non-text blobs are removed from consideration. void remove_nontext_regions(tesseract::Tesseract *tess, BLOCK_LIST *blocks, TO_BLOCK_LIST *to_blocks) { Pix *pix = tess->pix_binary(); ASSERT_HOST(pix != NULL); int vertical_x = 0; int vertical_y = 1; tesseract::TabVector_LIST v_lines; tesseract::TabVector_LIST h_lines; const int kMinCredibleResolution = 70; int resolution = (kMinCredibleResolution > pixGetXRes(pix)) ? kMinCredibleResolution : pixGetXRes(pix); tesseract::LineFinder::FindAndRemoveLines(resolution, false, pix, &vertical_x, &vertical_y, NULL, &v_lines, &h_lines); Pix* im_pix = tesseract::ImageFind::FindImages(pix); if (im_pix != NULL) { pixSubtract(pix, pix, im_pix); pixDestroy(&im_pix); } tess->mutable_textord()->find_components(tess->pix_binary(), blocks, to_blocks); } // Find connected components in the page and process a subset until finished or // a stopping criterion is met. // Returns the number of blobs used in making the estimate. 0 implies failure. int orientation_and_script_detection(STRING& filename, OSResults* osr, tesseract::Tesseract* tess) { STRING name = filename; //truncated name const char *lastdot; //of name TBOX page_box; lastdot = strrchr (name.string (), '.'); if (lastdot != NULL) name[lastdot-name.string()] = '\0'; ASSERT_HOST(tess->pix_binary() != NULL) int width = pixGetWidth(tess->pix_binary()); int height = pixGetHeight(tess->pix_binary()); BLOCK_LIST blocks; if (!read_unlv_file(name, width, height, &blocks)) FullPageBlock(width, height, &blocks); // Try to remove non-text regions from consideration. TO_BLOCK_LIST land_blocks, port_blocks; remove_nontext_regions(tess, &blocks, &port_blocks); if (port_blocks.empty()) { // page segmentation did not succeed, so we need to find_components first. tess->mutable_textord()->find_components(tess->pix_binary(), &blocks, &port_blocks); } else { page_box.set_left(0); page_box.set_bottom(0); page_box.set_right(width); page_box.set_top(height); // Filter_blobs sets up the TO_BLOCKs the same as find_components does. tess->mutable_textord()->filter_blobs(page_box.topright(), &port_blocks, true); } return os_detect(&port_blocks, osr, tess); } // Filter and sample the blobs. // Returns a non-zero number of blobs if the page was successfully processed, or // zero if the page had too few characters to be reliable int os_detect(TO_BLOCK_LIST* port_blocks, OSResults* osr, tesseract::Tesseract* tess) { int blobs_total = 0; 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* to_block = block_it.data(); if (to_block->block->poly_block() && !to_block->block->poly_block()->IsText()) continue; BLOBNBOX_IT bbox_it; bbox_it.set_to_list(&to_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() < kMinAcceptableBlobHeight) continue; filtered_it.add_to_end(bbox); } } return os_detect_blobs(NULL, &filtered_list, osr, tess); } // Detect orientation and script from a list of blobs. // Returns a non-zero number of blobs if the list was successfully processed, or // zero if the list had too few characters to be reliable. // If allowed_scripts is non-null and non-empty, it is a list of scripts that // constrains both orientation and script detection to consider only scripts // from the list. int os_detect_blobs(const GenericVector* allowed_scripts, BLOBNBOX_CLIST* blob_list, OSResults* osr, tesseract::Tesseract* tess) { OSResults osr_; if (osr == NULL) osr = &osr_; osr->unicharset = &tess->unicharset; OrientationDetector o(allowed_scripts, osr); ScriptDetector s(allowed_scripts, osr, tess); BLOBNBOX_C_IT filtered_it(blob_list); int real_max = MIN(filtered_it.length(), kMaxCharactersToTry); // tprintf("Total blobs found = %d\n", blobs_total); // tprintf("Number of blobs post-filtering = %d\n", filtered_it.length()); // tprintf("Number of blobs to try = %d\n", real_max); // If there are too few characters, skip this page entirely. if (real_max < kMinCharactersToTry / 2) { tprintf("Too few characters. Skipping this page\n"); return 0; } 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); int num_blobs_evaluated = 0; for (int i = 0; i < real_max; ++i) { if (os_detect_blob(blobs[sequence.GetVal()], &o, &s, osr, tess) && i > kMinCharactersToTry) { break; } ++num_blobs_evaluated; } delete [] blobs; // Make sure the best_result is up-to-date int orientation = o.get_orientation(); osr->update_best_script(orientation); return num_blobs_evaluated; } // 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) { tess->tess_cn_matching.set_value(true); // turn it on tess->tess_bn_matching.set_value(false); C_BLOB* blob = bbox->cblob(); TBLOB* tblob = TBLOB::PolygonalCopy(tess->poly_allow_detailed_fx, blob); TBOX box = tblob->bounding_box(); FCOORD current_rotation(1.0f, 0.0f); FCOORD rotation90(0.0f, 1.0f); BLOB_CHOICE_LIST ratings[4]; // Test the 4 orientations for (int i = 0; i < 4; ++i) { // Normalize the blob. Set the origin to the place we want to be the // bottom-middle after rotation. // Scaling is to make the rotated height the x-height. float scaling = static_cast(kBlnXHeight) / box.height(); float x_origin = (box.left() + box.right()) / 2.0f; float y_origin = (box.bottom() + box.top()) / 2.0f; if (i == 0 || i == 2) { // Rotation is 0 or 180. y_origin = i == 0 ? box.bottom() : box.top(); } else { // Rotation is 90 or 270. scaling = static_cast(kBlnXHeight) / box.width(); x_origin = i == 1 ? box.left() : box.right(); } TBLOB* rotated_blob = new TBLOB(*tblob); rotated_blob->Normalize(NULL, ¤t_rotation, NULL, x_origin, y_origin, scaling, scaling, 0.0f, static_cast(kBlnBaselineOffset), false, NULL); tess->AdaptiveClassifier(rotated_blob, ratings + i); delete rotated_blob; current_rotation.rotate(rotation90); } delete tblob; 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( const GenericVector* allowed_scripts, OSResults* osr) { osr_ = osr; allowed_scripts_ = allowed_scripts; } // 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) { float blob_o_score[4] = {0.0f, 0.0f, 0.0f, 0.0f}; float total_blob_o_score = 0.0f; for (int i = 0; i < 4; ++i) { BLOB_CHOICE_IT choice_it(scores + i); if (!choice_it.empty()) { BLOB_CHOICE* choice = NULL; if (allowed_scripts_ != NULL && !allowed_scripts_->empty()) { // Find the top choice in an allowed script. for (choice_it.mark_cycle_pt(); !choice_it.cycled_list() && choice == NULL; choice_it.forward()) { int choice_script = choice_it.data()->script_id(); int s = 0; for (s = 0; s < allowed_scripts_->size(); ++s) { if ((*allowed_scripts_)[s] == choice_script) { choice = choice_it.data(); break; } } } } else { choice = choice_it.data(); } if (choice != NULL) { // The certainty score ranges between [-20,0]. This is converted here to // [0,1], with 1 indicating best match. blob_o_score[i] = 1 + 0.05 * choice->certainty(); total_blob_o_score += blob_o_score[i]; } } } if (total_blob_o_score == 0.0) return false; // Fill in any blanks with the worst score of the others. This is better than // picking an arbitrary probability for it and way better than -inf. float worst_score = 0.0f; int num_good_scores = 0; for (int i = 0; i < 4; ++i) { if (blob_o_score[i] > 0.0f) { ++num_good_scores; if (worst_score == 0.0f || blob_o_score[i] < worst_score) worst_score = blob_o_score[i]; } } if (num_good_scores == 1) { // Lower worst if there is only one. worst_score /= 2.0f; } for (int i = 0; i < 4; ++i) { if (blob_o_score[i] == 0.0f) { blob_o_score[i] = worst_score; total_blob_o_score += worst_score; } } // Normalize the orientation scores for the blob and use them to // update the aggregated orientation score. for (int i = 0; total_blob_o_score != 0 && i < 4; ++i) { osr_->orientations[i] += log(blob_o_score[i] / total_blob_o_score); } // TODO(ranjith) Add an early exit test, based on min_orientation_margin, // as used in pagesegmain.cpp. return false; } int OrientationDetector::get_orientation() { osr_->update_best_orientation(); return osr_->best_result.orientation_id; } ScriptDetector::ScriptDetector(const GenericVector* allowed_scripts, OSResults* osr, tesseract::Tesseract* tess) { osr_ = osr; tess_ = tess; allowed_scripts_ = allowed_scripts; 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_fontinfo_id = -1; const char* prev_unichar = ""; const char* 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(); if (allowed_scripts_ != NULL && !allowed_scripts_->empty()) { // Check that the choice is in an allowed script. int s = 0; for (s = 0; s < allowed_scripts_->size(); ++s) { if ((*allowed_scripts_)[s] == id) break; } if (s == allowed_scripts_->size()) continue; // Not found in list. } // 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_unichar = unichar; prev_fontinfo_id = choice->fontinfo_id(); } else if (-choice->certainty() < prev_score + kNonAmbiguousMargin) { ++script_count; } 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] += 1.0; // Workaround for Fraktur if (prev_id == latin_id_) { if (prev_fontinfo_id >= 0) { const tesseract::FontInfo &fi = tess_->get_fontinfo_table().get(prev_fontinfo_id); //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] -= 1.0; osr_->scripts_na[i][fraktur_id_] += 1.0; } } } // Update Japanese / Korean pseudo-scripts if (prev_id == katakana_id_) osr_->scripts_na[i][japanese_id_] += 1.0; if (prev_id == hiragana_id_) osr_->scripts_na[i][japanese_id_] += 1.0; if (prev_id == hangul_id_) osr_->scripts_na[i][korean_id_] += 1.0; if (prev_id == han_id_) { osr_->scripts_na[i][korean_id_] += kHanRatioInKorean; osr_->scripts_na[i][japanese_id_] += kHanRatioInJapanese; } } } // iterate over each orientation } bool ScriptDetector::must_stop(int orientation) { osr_->update_best_script(orientation); return osr_->best_result.sconfidence > 1; } // Helper method to convert an orientation index to its value in degrees. // The value represents the amount of clockwise rotation in degrees that must be // applied for the text to be upright (readable). int OrientationIdToValue(const int& id) { switch (id) { case 0: return 0; case 1: return 270; case 2: return 180; case 3: return 90; default: return -1; } }