The Research of handwritten signatures

Lei Liu, Huichuan Duan
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引用次数: 2

Abstract

Developed an approach to identify the authenticity of signatures based on the variance, Experimental dataset was from SVC2004 Database, we combined variance into Dynamic Time Warping algorithm to calculate the intra-class distance (between real signatures) and inter-class distance (between real-forged signatures). The results show that the former is far less than the later, so we draw the conclusion that the deviation between real signatures is smaller than the real-forged ones when people signature. The method in this paper is simple and efficient, It also has strong stability and good recognition rate.
手写签名的研究
提出了一种基于方差的签名真伪识别方法,实验数据集来自SVC2004数据库,将方差结合到动态时间扭曲算法中,计算类内(真实签名之间)和类间(真实伪造签名之间)的距离。结果表明,前者远远小于后者,因此我们得出结论,人们在签名时,真实签名之间的偏差小于真实伪造签名。该方法简单、高效,具有较强的稳定性和较好的识别率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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