Package org.opencv.text

Class OCRBeamSearchDecoder

java.lang.Object

org.opencv.text.BaseOCR

org.opencv.text.OCRBeamSearchDecoder

public class OCRBeamSearchDecoder
extends BaseOCR

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

Fields inherited from class org.opencv.text.BaseOCR

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	OCRBeamSearchDecoder(long addr)

Method Summary

Modifier and Type	Method	Description
static OCRBeamSearchDecoder	__fromPtr__(long addr)
static OCRBeamSearchDecoder	create(OCRBeamSearchDecoder_ClassifierCallback classifier, java.lang.String vocabulary, Mat transition_probabilities_table, Mat emission_probabilities_table)	Creates an instance of the OCRBeamSearchDecoder class.
static OCRBeamSearchDecoder	create(OCRBeamSearchDecoder_ClassifierCallback classifier, java.lang.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, java.lang.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()
java.lang.String	run(Mat image, int min_confidence)	Recognize text using Beam Search.
java.lang.String	run(Mat image, int min_confidence, int component_level)	Recognize text using Beam Search.
java.lang.String	run(Mat image, Mat mask, int min_confidence)
java.lang.String	run(Mat image, Mat mask, int min_confidence, int component_level)

Methods inherited from class org.opencv.text.BaseOCR

getNativeObjAddr

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

OCRBeamSearchDecoder

protected OCRBeamSearchDecoder(long addr)

Method Detail

__fromPtr__

public static OCRBeamSearchDecoder __fromPtr__(long addr)

run

public java.lang.String run(Mat image,
                            int min_confidence,
                            int component_level)

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).

component_level - Only OCR_LEVEL_WORD is supported.

min_confidence - automatically generated

Returns:

automatically generated

run

public java.lang.String run(Mat image,
                            int min_confidence)

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

public java.lang.String run(Mat image,
                            Mat mask,
                            int min_confidence,
                            int component_level)

run

public java.lang.String run(Mat image,
                            Mat mask,
                            int min_confidence)

create

public static OCRBeamSearchDecoder create(OCRBeamSearchDecoder_ClassifierCallback classifier,
                                          java.lang.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,
                                          java.lang.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,
                                          java.lang.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

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class BaseOCR

Throws:

java.lang.Throwable