OpenCV
4.0.0
Open Source Computer Vision
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Classes | |
class | cv::text::BaseOCR |
class | cv::text::OCRBeamSearchDecoder::ClassifierCallback |
Callback with the character classifier is made a class. More... | |
class | cv::text::OCRHMMDecoder::ClassifierCallback |
Callback with the character classifier is made a class. More... | |
class | cv::text::OCRBeamSearchDecoder |
OCRBeamSearchDecoder class provides an interface for OCR using Beam Search algorithm. More... | |
class | cv::text::OCRHMMDecoder |
OCRHMMDecoder class provides an interface for OCR using Hidden Markov Models. More... | |
class | cv::text::OCRHolisticWordRecognizer |
OCRHolisticWordRecognizer class provides the functionallity of segmented wordspotting. Given a predefined vocabulary , a DictNet is employed to select the most probable word given an input image. More... | |
class | cv::text::OCRTesseract |
OCRTesseract class provides an interface with the tesseract-ocr API (v3.02.02) in C++. More... | |
Namespaces | |
cv | |
"black box" representation of the file storage associated with a file on disk. | |
cv::text | |
Enumerations | |
enum | { cv::text::OCR_LEVEL_WORD, cv::text::OCR_LEVEL_TEXTLINE } |
enum | cv::text::classifier_type { cv::text::OCR_KNN_CLASSIFIER = 0, cv::text::OCR_CNN_CLASSIFIER = 1 } |
enum | cv::text::decoder_mode { cv::text::OCR_DECODER_VITERBI = 0 } |
enum | cv::text::ocr_engine_mode { cv::text::OEM_TESSERACT_ONLY, cv::text::OEM_CUBE_ONLY, cv::text::OEM_TESSERACT_CUBE_COMBINED, cv::text::OEM_DEFAULT } |
Tesseract.OcrEngineMode Enumeration. More... | |
enum | cv::text::page_seg_mode { cv::text::PSM_OSD_ONLY, cv::text::PSM_AUTO_OSD, cv::text::PSM_AUTO_ONLY, cv::text::PSM_AUTO, cv::text::PSM_SINGLE_COLUMN, cv::text::PSM_SINGLE_BLOCK_VERT_TEXT, cv::text::PSM_SINGLE_BLOCK, cv::text::PSM_SINGLE_LINE, cv::text::PSM_SINGLE_WORD, cv::text::PSM_CIRCLE_WORD, cv::text::PSM_SINGLE_CHAR } |
Tesseract.PageSegMode Enumeration. More... | |
Functions | |
void | cv::text::createOCRHMMTransitionsTable (std::string &vocabulary, std::vector< std::string > &lexicon, OutputArray transition_probabilities_table) |
Utility function to create a tailored language model transitions table from a given list of words (lexicon). More... | |
Mat | cv::text::createOCRHMMTransitionsTable (const String &vocabulary, std::vector< cv::String > &lexicon) |
Ptr< OCRBeamSearchDecoder::ClassifierCallback > | cv::text::loadOCRBeamSearchClassifierCNN (const String &filename) |
Allow to implicitly load the default character classifier when creating an OCRBeamSearchDecoder object. More... | |
Ptr< OCRHMMDecoder::ClassifierCallback > | cv::text::loadOCRHMMClassifier (const String &filename, int classifier) |
Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object. More... | |
Ptr< OCRHMMDecoder::ClassifierCallback > | cv::text::loadOCRHMMClassifierCNN (const String &filename) |
Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object. More... | |
Ptr< OCRHMMDecoder::ClassifierCallback > | cv::text::loadOCRHMMClassifierNM (const String &filename) |
Allow to implicitly load the default character classifier when creating an OCRHMMDecoder object. More... | |