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这个程序使用OpenCV text模块使用knn模型识别掩模mask里的字符。原始图片把原始图片处理成mask把mask输入到程序里进行识别代码int main() { Mat mask imread(scenetext_segmented_word01_mask.png, 0); threshold(mask, mask, 128., 255, THRESH_BINARY); string voc abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789; Mat emissionProbabilities Mat::eye((int)voc.size(), (int)voc.size(), CV_64FC1); Mat transitionProbabilities; FileStorage fs(./OCRHMM_transitions_table.xml,FileStorage::READ); fs[transition_probabilities] transitionProbabilities; PtrOCRHMMDecoder ocrOCRHMMDecoder::create( loadOCRHMMClassifierNM(./OCRHMM_knn_model_data.xml.gz), voc, transitionProbabilities, emissionProbabilities); string output; ocr-run(mask, output); cout output endl; }OpenCV text模块里有提供OCRHMM_knn_model_data.xml.gz和OCRHMM_transitions_table.xml OpenCV C++基于knn模型的掩模字符识别(OCR)
这个程序使用OpenCV text模块使用knn模型识别掩模mask里的字符。原始图片把原始图片处理成mask把mask输入到程序里进行识别代码int main() { Mat mask imread(scenetext_segmented_word01_mask.png, 0); threshold(mask, mask, 128., 255, THRESH_BINARY); string voc abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789; Mat emissionProbabilities Mat::eye((int)voc.size(), (int)voc.size(), CV_64FC1); Mat transitionProbabilities; FileStorage fs(./OCRHMM_transitions_table.xml,FileStorage::READ); fs[transition_probabilities] transitionProbabilities; PtrOCRHMMDecoder ocrOCRHMMDecoder::create( loadOCRHMMClassifierNM(./OCRHMM_knn_model_data.xml.gz), voc, transitionProbabilities, emissionProbabilities); string output; ocr-run(mask, output); cout output endl; }OpenCV text模块里有提供OCRHMM_knn_model_data.xml.gz和OCRHMM_transitions_table.xml