Handwritten Chinese Character Font Generation Based on Stroke Correspondence
Handwritten Chinese Character Font Generation Based on Stroke Correspondence
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DOI：
10.1142/s0219427905001316
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发表时间：
2005-09
期刊：
影响因子：
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通讯作者：
Jungpil Shin;Kazunori Suzuki;Atsushi Hasegawa
中科院分区：
文献类型：
--
作者：
Jungpil Shin;Kazunori Suzuki;Atsushi Hasegawa
本文研究了一种新的基于矢量量化的手写体汉字字形生成方法，该方法利用参考汉字库和压缩汉字库之间的笔画对应关系，通过矢量量化生成手写体汉字字形。汉字是由偏旁部首组合而成的。一个部首可以分成几个笔画，每个笔画对应两个或多个常用笔画。通过关注汉字和组成汉字的笔画的特点，我们把每个笔画看作一个矢量，并使用矢量量化来压缩笔画模式。矢量量化的压缩率为1.27%。我们进行了评估实验，使用主观和客观的标准，涉及26名受试者，并证明，成功地反映了用户的个人笔迹生成的字体。
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.