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>
  • Constructor Details

    • OCRBeamSearchDecoder

      protected OCRBeamSearchDecoder(long addr)
  • Method Details

    • __fromPtr__

      public static OCRBeamSearchDecoder __fromPtr__(long addr)
    • run

      public 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).
      min_confidence - automatically generated
      component_level - Only OCR_LEVEL_WORD is supported.
      Returns:
      automatically generated
    • run

      public 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 String run(Mat image, Mat mask, int min_confidence, int component_level)
    • run

      public String run(Mat image, Mat mask, int min_confidence)
    • 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

      protected void finalize() throws Throwable
      Overrides:
      finalize in class BaseOCR
      Throws:
      Throwable