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Chinese character recognizing method based on structure model

A technology of Chinese character recognition and structural models, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as difficult to use offline Chinese character recognition, long learning time, and unsatisfactory results, and achieve strong adaptability , good stability and high recognition accuracy

Inactive Publication Date: 2004-02-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

This method needs to collect a large number of samples and spend a lot of learning time, but the effect is not very satisfactory
The structural method has strong adaptability to deformation and does not have the burden of collecting samples and learning. However, although the existing structural method has achieved considerable success in online handwritten Chinese character recognition, it is difficult to apply it to the field of offline Chinese character recognition.

Method used

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  • Chinese character recognizing method based on structure model
  • Chinese character recognizing method based on structure model
  • Chinese character recognizing method based on structure model

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Embodiment Construction

[0052] The present invention can be implemented in various occasions where Chinese character recognition is required, and the preferred mode is an on-line handwritten Chinese character recognition system and device, an off-line printed Chinese character recognition system and device, and an off-line handwritten Chinese character recognition system and device. Embodiment, within the range of 6763 Chinese characters stipulated in GB2312-80, unrestricted free handwritten Chinese characters are recognized, and the correct rate of the first ten candidate characters of the stroke center point classifier is more than 99%, and the average recognition speed is 1 second / character, the recognition accuracy rate of the stroke relation matrix classifier is above 91.2%, and the average recognition speed is 0.2 seconds / character.

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Abstract

The present invention relates to the Chinese character recognizing method based on structure model, and belongs to the fields of mode distinction, artificial intelligence and Chinese character information processing. The present invention constitutes two mathematic models, including stroke section center point model and stroke relational matrix model, for describing Chinese character structures and stroke section center point recognizing method and stroke relational matrix recognizing method with stroke section and stroke primitives, and the models. The Chinese characters are classified roughly in stroke section center point recognizing method and delicately in stroke relational matrix recognizing method, and the present invention forms one integral Chinese character recognizing method for both book letter and script Chinese characters with high correctness and stable performance.

Description

technical field [0001] The invention relates to a Chinese character recognition method based on a structural model, and the claimed technical solution belongs to the field of pattern recognition, artificial intelligence and Chinese information processing. Background technique [0002] After decades of development, Chinese character recognition technology has made great progress. However, unrestricted handwritten Chinese character recognition, especially offline handwritten Chinese character recognition, still has a certain distance from people's expectation. In order to solve the problem of offline handwritten Chinese character recognition, at present, statistical methods and neural network methods are mostly used to adapt to the deformation of Chinese characters by learning a large number of handwritten Chinese character samples. This method needs to collect a large number of samples and spend a lot of learning time, but the effect is not very satisfactory. The structural...

Claims

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Application Information

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IPC IPC(8): G06K9/72
Inventor 贾云得刘峡壁
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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