Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2017, Vol. 53 ›› Issue (2): 219-229.DOI: 10.13209/j.0479-8023.2017.048

• Orginal Article • Previous Articles     Next Articles

A Structure and Style Model for Chinese Character Dynamic Generation

Qingsheng LI1,(), Qiang XU1, Jianguo XIAO2, Quan LIU3, Jiefang ZHANG1   

  1. 1. School of Electronic and Information, Zhejiang University of Media and Communications, Hangzhou 310018
    2. Institute of Computer Science and Technology, Peking University, Beijing 100871
    3. School of Information Engineering, Wuhan University of Technology, Wuhan 430205
  • Received:2016-07-30 Revised:2016-09-23 Online:2016-11-30 Published:2017-03-20
  • Contact: Qingsheng LI

汉字动态生成的结构与风格模型

栗青生1,(), 徐强1, 肖建国2, 刘泉3, 张解放1   

  1. 1. 浙江传媒学院电子信息学院, 杭州 310018
    2. 北京大学计算机科学与技术研究所, 北京 100871
    3. 武汉理工大学信息工程学院, 武汉 430205
  • 通讯作者: 栗青生
  • 基金资助:
    国家自然科学基金(60973051)、河南省自然科学基金(162300410005)和河南省科技基础前沿研究项目(152300410089)资助

Abstract:

This paper presents a Chinese generation model based on Chinese characters structure and style. The model is descripted by the stroke element, stroke element vector, path vector, string vector and yoke vector, including structure of Chinese characters and style of Chinese character. It can be used to dynamically generate the outline of the personalization True type font, and the methods of store the Chinese character on the Web and output to client is implemented. The best way to overcome the problem on Chinese font design and font generation is founded. This model is efficacious in Chinese information cloud storage and cloud service, and also provides an effective strategy and methods for the design of a deeper cloud character information service.

Key words: Chinese characters, Chinese characters strokes, font description, font generation, vector graph

摘要:

提出一种基于汉字结构和风格的字形生成模型。该模型将汉字字形抽象为汉字结构和汉字风格两种模式, 并在结构中将汉字笔画抽象为连续的笔元, 通过笔元的特征点构造笔元向量、径向量、弦向量和轭向量, 进行笔画风格的重建。通过这种方法, 动态产生可用于True type个性化汉字字形设计的字形, 实现汉字字形的Web存储和在客户端的特征字形输出, 克服了现代汉字由于汉字数量巨大而在字形设计方面的不足, 为个性化汉字信息的云端存储和云端字形服务提供了一种有效的策略和方法, 为设计更深层次的汉字信息服务奠定了基础。

关键词: 汉字, 笔画, 字形描述, 字形生成, 向量图

CLC Number: