Abstract

This research looked at an existing Chinese calligraphy font, the Kai-font, and carried out geometric modeling and analysis to set up a stroke feature model database. This allowed creation of an independent calligraphy simulation platform for extracting and analyzing fonts. Users can then input through the use of a mouse, digit pad or other systems to draw out the strokes of a Chinese character. The system will then automatically recognize the stroke starting coordinates, angles, area ratio and other parameters for stroke feature analysis and extraction. These data can then be compared with stroke feature information in the database to produce a simulated calligraphy font. This platform also allows the user to output the font simulation result to 3D drawing software such as SolidWorks for further design and applications. The advantage of this research hoped to develop a calligraphy font simulation system with a user friendly interface to allow traditional Chinese beginners having the opportunity to write out a Chinese calligraphy font on the computer. This will in turn serve to stimulate interests in Chinese calligraphy learning. Furthermore, this research enables the user to output the results to a computer aided design field for further application while promoting and spreading the art of Chinese calligraphy.

Keywords

computer geometric modeling, Chinese calligraphy, stroke recognition, feature extraction, stroke database, calligraphy characters platform

COinS
 
Jul 1st, 12:00 AM

Building a Simulation Platform for Chinese Calligraphy Characters

This research looked at an existing Chinese calligraphy font, the Kai-font, and carried out geometric modeling and analysis to set up a stroke feature model database. This allowed creation of an independent calligraphy simulation platform for extracting and analyzing fonts. Users can then input through the use of a mouse, digit pad or other systems to draw out the strokes of a Chinese character. The system will then automatically recognize the stroke starting coordinates, angles, area ratio and other parameters for stroke feature analysis and extraction. These data can then be compared with stroke feature information in the database to produce a simulated calligraphy font. This platform also allows the user to output the font simulation result to 3D drawing software such as SolidWorks for further design and applications. The advantage of this research hoped to develop a calligraphy font simulation system with a user friendly interface to allow traditional Chinese beginners having the opportunity to write out a Chinese calligraphy font on the computer. This will in turn serve to stimulate interests in Chinese calligraphy learning. Furthermore, this research enables the user to output the results to a computer aided design field for further application while promoting and spreading the art of Chinese calligraphy.

 

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