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Method for recognizing Chinese characters in natural scene

A text recognition, natural scene technology, applied in character and pattern recognition, neural learning methods, instruments, etc., can solve the problem of low recognition rate of text recognition

Active Publication Date: 2016-10-12
NANJING UNIV
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Problems solved by technology

[0004] In order to solve the problem that existing Chinese character recognition methods are not suitable for character recognition in natural scenes and the recognition rate is low

Method used

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  • Method for recognizing Chinese characters in natural scene
  • Method for recognizing Chinese characters in natural scene
  • Method for recognizing Chinese characters in natural scene

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Embodiment Construction

[0043] The Chinese character recognition method applicable to natural scenes of the present invention utilizes a deep convolutional neural network and a Markov random field for character recognition at the same time. The deep convolutional neural network is responsible for extracting the local features of the text, and the Markov random field models the text from two aspects of the local features and the structural features of the text. During recognition, this method evaluates the degree of matching between the text to be recognized and the template text model according to the minimum value of the energy function of the Markov random field, thereby recognizing the text.

[0044] Below in conjunction with accompanying drawing, the present invention is explained in more detail:

[0045] Such as figure 1 As shown, the left box represents the step process of the modeling training phase, and the right side represents the text recognition phase. The method is characterized in tha...

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Abstract

The invention discloses a method for recognizing Chinese characters in a natural scene. The method recognizes characters by a modeling training stage and a character recognition stage. The modeling training stage comprises successively establishing a tree structure expression of template characters, synthesizing a training set, training a convolutional nerve network, extracting the deep template characteristic of a node, and establishing and training a Markov random field. The character recognition stage comprises preprocessing a picture to be recognized, extracting the deep characteristic of an input picture, minimizing a Markov random field energy function, and finally recognizing characters. The method takes account of the local characteristic and the global structure of the characters while recognizing the characters, overcomes an influence on a recognition effect due to fuzzy characters and large deformation in the natural scene by combining the Markov random field technique with the deep characteristic of the node in the tree structure, thereby increasing recognition efficiency.

Description

technical field [0001] The invention relates to a method for recognizing Chinese characters, in particular to a method for recognizing Chinese characters applicable to natural scenes. Background technique [0002] Text recognition has extremely high application requirements in the fields of input method, license plate recognition, tax invoice recognition and book content recognition. Many related technologies have been put into commercial use and have achieved good results. However, most of the technologies are limited to specific usage scenarios, and the text recognition effect of existing technologies in natural scenarios is not satisfactory. [0003] According to different application scenarios, common Chinese character recognition algorithms are mainly divided into two categories: methods based on stroke tracking and methods based on images. Among them, the method based on stroke tracking is usually used in Chinese input methods such as mobile phones. Since it is diff...

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Application Information

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IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/08G06F18/2111G06F18/214
Inventor 路通刘小龙
Owner NANJING UNIV
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