Evaluation of the off-line signature verification by the hybrid model

被引：0
|
作者：
Hoguro, M [1 ]
Umezaki, T [1 ]
Sugiura, M [1 ]
机构：
[1] Nagoya Inst Technol, Grad Sch Engn, Nagoya, Aichi, Japan
来源：
7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL IV, PROCEEDINGS: IMAGE, ACOUSTIC, SPEECH AND SIGNAL PROCESSING | 2003年
关键词：
off-line signature verification; PCA; DP matching and hybrid model;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we present an off-line signature verification method which combines three different algorithms for improving precision. Firstly, we got average error rate 19.0[%] as a result of DP matching with Gaussian filter, and 20.75[%] with thinning. A principal analysis method got an average error rate 23.5[%] in case of dividing to nine regions. We propose the system which extracts the individual characteristics of signatures by thinning and the Gaussian filtering. Furthermore, we combine it with legacy principal component analysis methods. We got 9.0[%] as a result of proposed method.
引用
收藏
页码：122 / 125
页数：4
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