Package org.opencv.text
Class OCRBeamSearchDecoder
java.lang.Object
org.opencv.text.BaseOCR
org.opencv.text.OCRBeamSearchDecoder
OCRBeamSearchDecoder class provides an interface for OCR using Beam Search algorithm.
Note:
- (C++) An example on using OCRBeamSearchDecoder recognition combined with scene text detection can be found at the demo sample: <https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/word_recognition.cpp>
-
Field Summary
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic OCRBeamSearchDecoder
__fromPtr__
(long addr) static OCRBeamSearchDecoder
create
(OCRBeamSearchDecoder_ClassifierCallback classifier, String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table) Creates an instance of the OCRBeamSearchDecoder class.static OCRBeamSearchDecoder
create
(OCRBeamSearchDecoder_ClassifierCallback classifier, String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table, int mode) Creates an instance of the OCRBeamSearchDecoder class.static OCRBeamSearchDecoder
create
(OCRBeamSearchDecoder_ClassifierCallback classifier, String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table, int mode, int beam_size) Creates an instance of the OCRBeamSearchDecoder class.protected void
finalize()
Recognize text using Beam Search.Recognize text using Beam Search.Methods inherited from class org.opencv.text.BaseOCR
getNativeObjAddr
-
Constructor Details
-
OCRBeamSearchDecoder
protected OCRBeamSearchDecoder(long addr)
-
-
Method Details
-
__fromPtr__
-
run
Recognize text using Beam Search. Takes image on input and returns recognized text in the output_text parameter. Optionally provides also the Rects for individual text elements found (e.g. words), and the list of those text elements with their confidence values.- Parameters:
image
- Input binary image CV_8UC1 with a single text line (or word). text elements found (e.g. words). recognition of individual text elements found (e.g. words). for the recognition of individual text elements found (e.g. words).min_confidence
- automatically generatedcomponent_level
- Only OCR_LEVEL_WORD is supported.- Returns:
- automatically generated
-
run
Recognize text using Beam Search. Takes image on input and returns recognized text in the output_text parameter. Optionally provides also the Rects for individual text elements found (e.g. words), and the list of those text elements with their confidence values.- Parameters:
image
- Input binary image CV_8UC1 with a single text line (or word). text elements found (e.g. words). recognition of individual text elements found (e.g. words). for the recognition of individual text elements found (e.g. words).min_confidence
- automatically generated- Returns:
- automatically generated
-
run
-
run
-
create
public static OCRBeamSearchDecoder create(OCRBeamSearchDecoder_ClassifierCallback classifier, String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table, int mode, int beam_size) Creates an instance of the OCRBeamSearchDecoder class. Initializes HMMDecoder.- Parameters:
classifier
- The character classifier with built in feature extractor.vocabulary
- The language vocabulary (chars when ASCII English text). vocabulary.size() must be equal to the number of classes of the classifier.transition_probabilities_table
- Table with transition probabilities between character pairs. cols == rows == vocabulary.size().emission_probabilities_table
- Table with observation emission probabilities. cols == rows == vocabulary.size().mode
- HMM Decoding algorithm. Only OCR_DECODER_VITERBI is available for the moment (<http://en.wikipedia.org/wiki/Viterbi_algorithm>).beam_size
- Size of the beam in Beam Search algorithm.- Returns:
- automatically generated
-
create
public static OCRBeamSearchDecoder create(OCRBeamSearchDecoder_ClassifierCallback classifier, String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table, int mode) Creates an instance of the OCRBeamSearchDecoder class. Initializes HMMDecoder.- Parameters:
classifier
- The character classifier with built in feature extractor.vocabulary
- The language vocabulary (chars when ASCII English text). vocabulary.size() must be equal to the number of classes of the classifier.transition_probabilities_table
- Table with transition probabilities between character pairs. cols == rows == vocabulary.size().emission_probabilities_table
- Table with observation emission probabilities. cols == rows == vocabulary.size().mode
- HMM Decoding algorithm. Only OCR_DECODER_VITERBI is available for the moment (<http://en.wikipedia.org/wiki/Viterbi_algorithm>).- Returns:
- automatically generated
-
create
public static OCRBeamSearchDecoder create(OCRBeamSearchDecoder_ClassifierCallback classifier, String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table) Creates an instance of the OCRBeamSearchDecoder class. Initializes HMMDecoder.- Parameters:
classifier
- The character classifier with built in feature extractor.vocabulary
- The language vocabulary (chars when ASCII English text). vocabulary.size() must be equal to the number of classes of the classifier.transition_probabilities_table
- Table with transition probabilities between character pairs. cols == rows == vocabulary.size().emission_probabilities_table
- Table with observation emission probabilities. cols == rows == vocabulary.size(). (<http://en.wikipedia.org/wiki/Viterbi_algorithm>).- Returns:
- automatically generated
-
finalize
-