HMM-based on-line signature verification: Feature extraction and signature modeling

被引：218

作者：

Fierrez, Julian ^{[1
]}

Ortega-Garcia, Javier ^{[1
]}

Ramos, Daniel ^{[1
]}

Gonzalez-Rodriguez, Joaquin ^{[1
]}

机构：

[1] Univ Autonoma Madrid, Escuela Politecn Super, Biometr Recognit Grp ATVS, E-28049 Madrid, Spain

来源：

PATTERN RECOGNITION LETTERS | 2007年 / 28卷 / 16期

关键词：

biometrics; on-line signature; feature extraction; hidden Markov model; recognition; verification;

D O I：

10.1016/j.patrec.2007.07.012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A function-based approach to on-line signature verification is presented. The system uses a set of time sequences and Hidden Markov Models (HMMs). Development and evaluation experiments are reported on a subcorpus of the MCYT bimodal biometric database comprising more than 7000 signatures from 145 subjects. The system is compared to other state-of-the-art systems based on the results of the First International Signature Verification Competition (SVC 2004). A number of practical findings related to feature extraction and modeling are obtained. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：2325 / 2334

页数：10

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