计算机工程2012，Vol.38Issue(10)：178-181,4.DOI:10.3969/j.issn.1000-3428.2012.10.054
基于局部结构分割的维吾尔文笔迹鉴别方法
Identification Method for Uyghur Handwritings Based on Local Structure Segmentation
摘要
Abstract
Due to the great impact on stable feature extraction in global texture analysis for feature extraction by text or character combinations, and existing local feature extraction methods' shortages, this paper presents a text-independent writer identification method for Uyghur handwritings based on local structure segmentation and Codebook construction. The proposed method extracts representative contours from handwriting samples according to pixel values, generates a Codebook of specified writer to depict writer's writing style and uses Codebook to measure the similarity of different writers to achieve writer identification. Experimental results demonstrate that the presented method is a feasible and applicable writer identification method with favorable performance.关键词
笔迹鉴别/维吾尔文笔迹/轮廓提取/轮廓细化/轮廓分割/Codebook构建Key words
handwritings identification/Uyghur handwritings/contour extraction/contour thinning/contour segmentation/Codebook construction分类
信息技术与安全科学引用本文复制引用
尚赵伟,李建伟,张太平,艾斯卡尔·艾木都拉..基于局部结构分割的维吾尔文笔迹鉴别方法[J].计算机工程,2012,38(10):178-181,4.基金项目
国家自然科学基金资助面上项目(61003120) （61003120）
中央高校基本科研业务费专项基金资助项目(CDJRC10180009) （CDJRC10180009）
重庆市自然科学基金资助项目(CSTC2010BB2217) （CSTC2010BB2217）
