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A Method of Automatic Extraction of Chinese Character Strokes Based on Manifold Learning

A technology of automatic extraction and manifold learning, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as large differences in the structure and shape of the same character, poor effect, and low accuracy of point set matching algorithms , to achieve the effect of improving development efficiency, reducing development cost and improving accuracy

Active Publication Date: 2020-06-02
PEKING UNIV
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Problems solved by technology

However, font styles are diverse, and the structure and shape of the same character may vary greatly in different fonts, resulting in low accuracy of the point set matching algorithm, making the existing methods in dealing with fonts that differ greatly from the standard italic style not effectively

Method used

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  • A Method of Automatic Extraction of Chinese Character Strokes Based on Manifold Learning
  • A Method of Automatic Extraction of Chinese Character Strokes Based on Manifold Learning
  • A Method of Automatic Extraction of Chinese Character Strokes Based on Manifold Learning

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Embodiment Construction

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the described examples are only part of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0036] The overall process of the inventive method is as attached figure 1 and figure 2 As shown, a specific embodiment is as follows:

[0037] 1) The user enters the target word, such as figure 2 (a) The word "Gong" in the simplified form of Fangzheng Zhongqian.

[0038] 2) Off-line construction of the skeleton manifold of the word "Gong";

[0039] 2-a) According to the order of strokes of the word "Gong", manually mark the key ...

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Abstract

The invention provides a method for automatically extracting strokes of Chinese characters based on manifold learning, which belongs to the fields of artificial intelligence and computer graphics. This method guides the stroke extraction of the target character by constructing a two-dimensional manifold space of the Chinese character skeleton and finding the character with the most similar style as a reference character. The invention can solve the problem that the styles of the reference character and the target character are too different in the data-driven automatic stroke extraction method, and effectively improves the accuracy rate of stroke extraction of Chinese characters.

Description

technical field [0001] The invention provides a Chinese character-oriented automatic stroke extraction algorithm, specifically related to the establishment of font skeleton manifolds, searching for the template most similar to the target glyph in the manifold, and automatically extracting strokes from the glyph according to the template, which belongs to artificial intelligence, computer field of graphics. Background technique [0002] Graph segmentation is one of the most important research problems in the field of computer graphics and computer vision. For Chinese character glyphs, Chinese characters are composed of strokes, and strokes are the smallest basic unit of Chinese characters. Therefore, a glyph is usually segmented according to the stroke level. Chinese character glyph segmentation is also called Chinese character stroke extraction. Chinese character stroke extraction technology is a key step in the fields of Chinese character recognition, writing style analysi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/462
Inventor 陈旭东连宙辉唐英敏肖建国
Owner PEKING UNIV
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