计算机工程与应用2013，Vol.49Issue(3)：139-142,4.DOI:10.3778/j.issn.1002-8331.1106-0379
基于多方向特征融合的维吾尔文笔迹鉴别技术
Uyghur handwriting identification technology based on combining of multi-directional features
摘要
Abstract
On the basis of suppression of grid lines and noises in handwritten paper images and thinning, according to the Uyghur handwriting structure features and writing styles, this paper presents a naive handwriting identification technique based on the four-dimensional directional features of the subset strokes. In order to further improve the identification rate, it fuses the directional feature presented in this paper with another often used slope computing based directional feature, then achieves a better handwriting identification rate. In the implementation process, this paper also comparatively analyzes the effects of different distance measurement methods to the identification rate, and selects the weighted Euclidean distance as the best measurement method for the case of this paper.关键词
维吾尔文/笔迹鉴别/细化/方向特征/加权欧式距离Key words
Uyghur/ handwriting identification/ thinning/ directional feature/ weighted Euclidean distance分类
信息技术与安全科学引用本文复制引用
古孜丽塔吉·乃拜,库尔班·吾布力,卡米力·木依丁,艾斯卡尔·艾木都拉..基于多方向特征融合的维吾尔文笔迹鉴别技术[J].计算机工程与应用,2013,49(3):139-142,4.基金项目
国家自然科学基金(No.61065001) （No.61065001）
新疆维吾尔自治区科技厅少数民族特殊培养计划项目(No.201023116) （No.201023116）
新疆多语种信息技术重点实验室开放项目(No.049807). （No.049807）
