Acta Scientiarum Naturalium Universitatis Pekinensis

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Study of Feature Weighted-Based Generation Method for Dian Strokes of Chinese Character

LI Qingsheng1,2, XIONG Jing1,2, WU Qinxia1,2, YANG Yuxing2,3   

  1. 1. School of Computer and Information Engineering, Anyang Normal University, Anyang 455000; 2. Institute of Digital Inscriptions on Bones/Tortoise Shells, Anyang 455000; 3. College of Mathematics and Information Science, Henan Normal University, Xinxiang 453007;
  • Received:2013-06-10 Online:2014-01-20 Published:2014-01-20



  1. 1. 安阳师范学院计算机与信息工程学院, 安阳 455000; 2. 数字化甲骨文工程技术研究中心, 安阳 455000; 3.河南师范大学数学与信息科学学院, 新乡 453007;

Abstract: According to the difficulties of Chinese characters design and development, a Chinese characters description method based on feature points abstract and a generation method based on character glyph skeleton were proposed. The authors researched the techniques and methods about feature points and their weights, characteristic expression and weight vector of the feature points in Chinese character generation. A Chinese character point strokes generation algorithm was introduced and some verification experiments were implemented. The results demonstrate the reliability and practicality of the algorithm. It can improve the efficiency of the Chinese character design, and provide a solution for other Chinese character strokes generation.

Key words: Chinese character, glyph generation, feature weights, weight vector, typeface

摘要: 针对汉字字形设计和开发的困难, 提出基于特征点抽象的汉字字形描述方法和汉字字形生成方法, 研究特征点、特征表达式、特征点的权值和权矢量等在汉字字形生成中的应用技术和方法, 并以点的生成为例, 设计汉字点笔画的生成算法, 并进行验证实验。实验结果证明该算法可靠并实用, 可切实提高汉字字形设计的效率, 为汉字其他笔画的生成提供一种解决方案。

关键词: 汉字, 字形生成, 特征权值, 权矢量, 字体

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