摘要： 对离线的文本无关的笔迹鉴别进行研究，结合维吾尔文文字连写多、字形复杂等特点，采用基于概率分布函数的微结构特征笔迹鉴别，提出一种维吾尔文的笔迹鉴别方法。该方法对笔迹中局部细微结构的书写变化趋势进行描述，运用欧氏距离和Manhattan距离度量方法进行笔迹特征匹配。对120份维吾尔族学生的笔迹样本进行测试，结果表明，该方法能有效提高维吾尔文笔迹鉴别的正确率。

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

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.

Key words: Uighur, handwriting identification, text independent, microstructure feature, Euclidean distance, Manhattan distance

中图分类号: 

• TP18