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小篆文字的自动识别

戴琼 周明全 付倩

计算机技术与发展2016,Vol.26Issue(3):1-4,4.
计算机技术与发展2016,Vol.26Issue(3):1-4,4.DOI:10.3969/j.issn.1673-629X.2016.03.001

小篆文字的自动识别

Automatic Recognition of Xiaozhuan Fonts

戴琼 1周明全 1付倩1

作者信息

  • 1. 北京师范大学 信息科学与技术学院,北京 100875
  • 折叠

摘要

Abstract

Xiaozhuan is the language used Qin unified China,and is a major milestone in the development of Chinese characters. In calli-graphy,inscriptions,stone carvings,it is abound. However,due to large differences with the modern Chinese characters,most people can-not recognize these Xiaozhuan text. An automatic identification method of Xiaozhuan text by using computer technology is presented. First,the standard and database for Xiaozhuan font is built. Secondly,the Xiaozhuan text image which users want to identify is scaled to the standard size,and then the image is matched with these characters in the standard database of Xiaozhuan font by iterative closest point algorithm ( ICP algorithm) . Finally,the similarity is computed and the highest similarity ward is selected,that is the output result of rec-ognition. Therefore automatic recognition of Xiaozhuan font is achieved. A lot of experiments have shown this method is effective.

关键词

小篆字体/ICP算法/相似度/自动识别

Key words

Xiaozhuan fonts/ICP/similarity/automatic recognition

分类

信息技术与安全科学

引用本文复制引用

戴琼,周明全,付倩..小篆文字的自动识别[J].计算机技术与发展,2016,26(3):1-4,4.

基金项目

国家自然科学基金资助项目(61170203) (61170203)

计算机技术与发展

OACSTPCD

1673-629X

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