Impact of signature legibility and signature type in off-line signature verification

被引：0
|
作者：
Alonso-Fernandez, F. [1 ]
Fairhurst, M. C. [2 ]
Fierrez, J. [1 ]
Ortega-Garcia, J. [1 ]
机构：
[1] Univ Autonoma Madrid, Escuela Politecn Super, Biometr Recognit Grp ATVS, Avda Francisco Tomas y Valiente 11,Campus Cantobl, Madrid 28049, Spain
[2] Univ Kent, Dept Elect, Canterbury CT2 7NT, Kent, England
来源：
2007 BIOMETRICS SYMPOSIUM | 2007年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The performance of two popular approaches for off-line Signature verification in terms of signature legibility and signature type is studied. We investigate experimentally if the knowledge of letters, syllables or name instances can help in the process of imitating a signature. Experimental results are given on a sub-corpus of the MCYT signature database for random and skilled forgeries. We use for our experiments two machine experts, one based on global image analysis and statistical distance measures, and the second based on local image analysis and Hidden Markov Models. Verification results are reported in terms of Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR).
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页码：114 / +
页数：2
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