Online Signature Verification Algorithm with a User-Specific Global-Parameter Fusion Model

被引：8
|
作者：
Muramatsu, Daigo [1 ]
Matsumoto, Takashi [2 ]
机构：
[1] Seikei Univ, Dept Elect & Machan Engn, Tokyo, Japan
[2] Waseda Univ, Dept Elect Engn & Biosci, Tokyo, Japan
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
关键词：
Biometrics; Online Signature Verification; Fusion; IDENTIFICATION; DATABASE;
D O I：
10.1109/ICSMC.2009.5346689
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fusion is a promising strategy to improve performance in biometrics, and many fusion methods have been proposed. Most of them are user-generic fusion strategies, because generating user-specific strategies for each user is difficult. In this paper, we propose an online signature verification method using a user-specific global-parameter fusion model. The basic fusion model is a user-generic (global-parameter) fusion model, but by introducing a user-dependent mean vector, we can generate a user-specific fusion model. To evaluate the proposed algorithm, several experiments were performed by using three public databases. The proposed algorithm yielded equal error rates (EERs) of 4.0%, 8.6%, and 6.1% for the MCYT, SVC2004 task2, and MyIDea databases, respectively.
引用
收藏
页码：486 / +
页数：3
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