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首页> 外文期刊>International Journal of Computer Processing of Oriental Languages >Handwritten Chinese Character Font Generation Based on Stroke Correspondence
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Handwritten Chinese Character Font Generation Based on Stroke Correspondence

机译：基于笔划对应的手写汉字字体生成

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摘要

In this paper, we investigate a novel method for an individual's handwritten Chinese character font generation, using stroke correspondence between the reference character database and the compressed character database, by vector quantization. Chinese characters are composed of a combination of radicals. A radical may be separated into several strokes, with each stroke corresponding to two or more common strokes. By paying attention to the characteristics of Chinese characters and the strokes that form them, we consider each stroke to be a vector and compress the stroke pattern using vector quantization. A compression rate of 1.27% is achieved by the vector quantization. We performed the evaluation experiments using both subjective and objective criteria involving 26 subjects and demonstrated that fonts generated successfully reflect the user's individual handwriting.
机译：在本文中，我们研究了一种利用参考字符数据库和压缩字符数据库之间的笔划对应关系，通过矢量量化来生成个人手写汉字字体的新方法。汉字由部首组合而成。部首可以分为几个笔划，每个笔划对应于两个或更多个常见笔划。通过关注汉字的特性和形成汉字的笔画，我们将每个笔画视为一个矢量，并使用矢量量化压缩该笔画样式。通过矢量量化可实现1.27％的压缩率。我们使用涉及26个主题的主观和客观标准进行了评估实验，并证明生成的字体成功反映了用户的个人笔迹。

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