Recognition method for components of Chinese character pictures

A technology of Chinese character components and recognition methods, applied in character and pattern recognition, computer parts, instruments, etc., can solve problems such as recognition speed limitations, and achieve the effect of improving accuracy and recognition rate

Inactive Publication Date: 2013-03-13
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

The characteristic of the structural method is that it can distinguish small differences, thereby identifying different Chinese characters with similar structures, but the recognition speed will be limited

Method used

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  • Recognition method for components of Chinese character pictures
  • Recognition method for components of Chinese character pictures
  • Recognition method for components of Chinese character pictures

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing and example the present invention is described in further detail:

[0031] The implementation process of the invention includes four main steps: description of strokes and structural relationships of Chinese character components, generation of component candidate strokes, generation of possible solutions based on target components, and recognition results based on the principle of optimal combination of components.

[0032] like figure 1 Shown, the present invention is concretely realized as follows:

[0033] Step 1: Description of strokes and structural relationships of Chinese character components:

[0034] Using the statistical structural modeling method, both components and input Chinese characters are represented as a set of strokes. For the components in the component library, the fine strokes obtained after image thinning and stroke extraction are artificially merged in line with semantics. During the matching pro...

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Abstract

The invention relates to a recognition method for components of Chinese character pictures and belongs to the field of image processing and pattern recognition. The method includes firstly pre-processing Chinese character component pictures with specific fonts, performing skeleton extracting, forming initial sections according to endpoints and intersections which are detected out, and merging some sections in an artificial interactive mode; next, performing statistical modeling on the marked sections and describing directional information of the sections by using a four-dimensional vector; then constructing section neighbor relations to complete the component modeling process according to the maximum spinning tree principle; for an input Chinese character, firstly decomposing the character into sections, then generating a group of section sets with the maximum similarity by contrasting each component in a library, finally obtaining recognition results of components of the input Chinese character through the optimum selection strategy, namely, obtaining the optimum solution through solution of the variety knapsack problem. Local features are introduced, the optimum combination strategy is adopted, the complete recognition method for the components of the Chinese character pictures is formed, and the recognition rate can be improved effectively.

Description

technical field [0001] The invention belongs to the technical field of computer virtual reality, in particular the skeleton extraction of Chinese character pictures, the image processing field of stroke generation and the pattern recognition field of component recognition based on semantic knowledge. Background technique [0002] As a typical representative of ideographic characters, there is a big difference between Chinese writing and phonetic writing. The research on the structure of pictographic corpus shows that the various parts that make up Chinese characters with clear meanings are defined as components, and Chinese characters can be regarded as being composed of various components through different combinations. Utilize, like the two characters "peach" and "plum", there is a "wood" part in them, which actually means there is a tree. Therefore, how to split a Chinese character into components with specific semantic information becomes a more important part in Chines...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
Inventor 梁晓辉于博文孙林嘉
Owner BEIHANG UNIV
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