基于方向特征的维吾尔文离线签名鉴别

Abstract

本文以弥补我国少数民族离线签名鉴别体系中这一漏洞的前提下，结合维吾尔文手写签名的书写风格及特点，提出了一种基于16维方向的维吾尔文离线签名鉴别方法。实验中，对10个维吾尔族人的600个手写签名样本进行签名预处理和特征提取之后，分别用三种距离分类器来进行了签名鉴别，得到的最高签名总正确率为92.58%。实验结果表明，本文提出的方法对于离线的维吾尔文手写签名鉴别来说是一种较有效的鉴别方法。 In this paper, in order to compensate the blank of ethnic minorities off-line signature verification system in our country, a Uyghur off-line signature verification method based on 16 dimensional directional features was proposed by combining with the writing style and nature of Uyghur handwritten signature. In the experiment, three kinds of distance classifier were used separately to signature verification after preprocessing and feature extracting 600 handwritten signature samples from the 10 Uyghur people, and 92.58% of the highest total correct verification rate was obtained. Experimental results show that, the method proposed in this paper is a more effective verification method for off-line handwritten Uyghur signature.