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基于微结构特征的维吾尔文笔迹鉴别

沈洁 卡米力·木依丁 张韦煜

计算机工程2012,Vol.38Issue(24):175-178,4.
计算机工程2012,Vol.38Issue(24):175-178,4.

基于微结构特征的维吾尔文笔迹鉴别

Uighur Handwriting Identification Based on Microstructure Feature

沈洁 1卡米力·木依丁 1张韦煜1

作者信息

  • 1. 新疆大学信息科学与工程学院,乌鲁木齐830046
  • 折叠

摘要

Abstract

According to the offline and text independent writer identification research, combining with the Uighur text connections and complex glyph characteristics, this paper uses microstructure feature handwriting identification method based on probability distribution function to realize Uighur handwriting identification. The method depicts the writing trend of local fine structures in handwritings and uses Euclidean distance and Manhattan distance metrics to measure the similarity between handwritings. The handwriting samples of 120 Uyghur nationality students are tested. Results show that the method can improve the correctness of Uighur handwriting identification.

关键词

维吾尔文/笔迹鉴别/文本无关/微结构特征/欧氏距离/Manhattan距离

Key words

Uighur/ handwriting identification/ text independent/ microstructure feature/ Euclidean distance/ Manhattan distance

分类

信息技术与安全科学

引用本文复制引用

沈洁,卡米力·木依丁,张韦煜..基于微结构特征的维吾尔文笔迹鉴别[J].计算机工程,2012,38(24):175-178,4.

基金项目

国家自然科学基金资助项目(61065001) (61065001)

新疆少数民族科技人才特殊培养计划基金资助项目(201023116) (201023116)

计算机工程

OACSCDCSTPCD

1000-3428

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