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Chinese character framework inflection point detection methods and systems based on eight-neighborhood direction coding

A detection method, the eight-neighborhood technology, applied in the field of information processing of Chinese character writing, to achieve the effect of detailed and comprehensive inflection point determination method, improved accuracy, and high inflection point detection efficiency

Pending Publication Date: 2022-01-07
HUAZHONG NORMAL UNIV
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Problems solved by technology

[0012] Aiming at the defects of the prior art, the object of the present invention is to provide a Chinese character skeleton inflection point detection method and system based on eight-neighborhood direction coding, aiming to solve the problem of using the unique law of the direction coding chain of different strokes of Chinese characters to detect the inflection point of handwritten Chinese characters question

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  • Chinese character framework inflection point detection methods and systems based on eight-neighborhood direction coding
  • Chinese character framework inflection point detection methods and systems based on eight-neighborhood direction coding
  • Chinese character framework inflection point detection methods and systems based on eight-neighborhood direction coding

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Embodiment Construction

[0098] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0099] Such as figure 1 As shown, the Chinese character skeleton inflection point detection method based on eight-neighborhood direction coding provided by Embodiment 1 of the present invention first needs to perform a Chinese character skeleton extraction operation on the handwritten original Chinese character image to obtain a Chinese character skeleton image. The Chinese character skeleton extraction operation includes the following steps:

[0100] A0: Original Chinese character image such as image 3 As shown, the original Chinese character image is grayscaled, binarized and normalized sequen...

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Abstract

The invention discloses two Chinese character framework inflection point detection methods and systems based on eight-neighborhood direction coding. The first measurement method comprises a preprocessing step, a stroke segment segmentation step, a stroke segment coding step and an inflection point detection step. The second measurement method comprises a preprocessing step, a stroke segment segmentation step, a stroke segment coding step, an inflection point judgment step and an inflection point detection step. According to the methods, unique rules of direction coding chains of different strokes of Chinese characters are fully considered, research and summarization are carried out on the basis of eight-neighborhood direction coding, main direction coding, legal direction coding and illegal direction coding of different types of stroke segments are given, a stroke segment corresponding to a direction code chain containing three or more different direction codes is determined to be a stroke segment containing inflection points, and handwriting pixel points corresponding to illegal direction codes in the direction code chain are determined to be inflection points.

Description

technical field [0001] The invention belongs to the technical field of information processing of Chinese character writing, and more specifically relates to a method and system for detecting an inflection point of a Chinese character skeleton based on eight-neighborhood direction coding. Background technique [0002] There are many kinds of strokes of Chinese characters, and the writing of different people is also quite different. These factors affect the accuracy of machine handwritten Chinese character recognition and evaluation. However, we can use information such as the number and location of inflection points to confirm the stroke type and stroke structure of the current stroke, effectively improving the accuracy of handwritten Chinese character recognition and evaluation. [0003] The existing inflection point detection methods include detection methods based on edge pixel curvature and multi-neighborhood changes of pixel points. These methods are easily disturbed by ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06F40/126
CPCG06T7/0002G06T7/10G06F40/126G06T2207/10004G06T2207/20164
Inventor 刘三女牙杨宗凯舒江波卢帅成李简然易宝林张照理戴志诚张维吴亮曾晶丽
Owner HUAZHONG NORMAL UNIV
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