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A Method of Automatic Extraction of Chinese Character Strokes Oriented to Vector Graphics

A technology of strokes and glyphs, applied in the field of non-rigid point set registration, can solve problems such as low efficiency

Active Publication Date: 2018-10-26
PEKING UNIV
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  • Application Information

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Problems solved by technology

It takes about 2-3 man-years to make a font library, and the efficiency is low

Method used

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  • A Method of Automatic Extraction of Chinese Character Strokes Oriented to Vector Graphics
  • A Method of Automatic Extraction of Chinese Character Strokes Oriented to Vector Graphics
  • A Method of Automatic Extraction of Chinese Character Strokes Oriented to Vector Graphics

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Embodiment Construction

[0050] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described below through specific embodiments and accompanying drawings.

[0051] figure 1 It is the non-rigid point set registration flow chart based on structural information described in the present invention, which includes the following parts:

[0052] 1) Carry out CPD registration with a localized optimization operator for the two input point sets, and obtain the globally optimal point set correspondence after matching.

[0053] 2) Obtain the preliminary stroke classification result of the data point set according to the point set correspondence relationship obtained in step 1).

[0054] 3) After step 2) is executed, each stroke corresponds to a set of template points and a set of data points, and localized CPD registration is performed for these two sets corresponding to each stroke (that is, localized optimiz...

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Abstract

The invention relates to a method for automatically extracting strokes of Chinese characters oriented to vector glyphs. The steps include: 1) performing skeleton extraction on target glyphs to be extracted and corresponding template glyphs with stroke classification information in a template database to obtain data points set and template point set; 2) take the data point set, template point set and the stroke attribution relationship of the template point set as input, and perform non-rigid point set registration based on structural information to obtain the stroke attribution relationship of the data point set; 3) set The stroke attribution relationship of the data point set is converted into the attribution relationship of the data outline segment, so that each outline segment constituting the glyph outline has a corresponding attribution stroke; 4) Connect the generated outline segments to obtain the final vector stroke extraction result. The vectorization method of the present invention can accurately realize stroke extraction of glyphs without manual intervention at all, and the algorithm can run automatically, which is beneficial to the batch operation of vectorized stroke extraction.

Description

technical field [0001] The invention relates to a method for automatically extracting Chinese character strokes of vector fonts. More specifically, it involves a non-rigid point set registration method, and uses the result of point set registration to propose an algorithm for extracting vector Chinese character strokes, thereby completing the automatic stroke extraction of vector glyphs, which belongs to computer graphics and image processing technology field. Background technique [0002] Chinese characters are an ancient language with a history of nearly 5,000 years. During the development and evolution of Chinese characters, a variety of fonts appeared. In the early days of computer development, the Chinese character library only included a few limited fonts such as Hei Ti, Song Ti, Kai Ti, and Fang Song. With the development of computer technology and the popularization of the Internet, people's demand for different fonts is becoming more and more urgent. [0003] At ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V30/2268
Inventor 孙浩连宙辉唐英敏肖建国
Owner PEKING UNIV
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