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

页码：486 / +

页数：3

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