Discriminative multimodal biometric authentication based on quality measures

PATTERN RECOGNITION

卷:38

Article

Fierrez-Aguilar, J ; Ortega-Garcia, J ; Gonzalez-Rodriguez, J ; Bigun, J

关键词: biometrics;    multimodal;    authentication;    verification;    quality;    support vector machine;    fingerprint;    signature;   

DOI  :  10.1016/j.patcog.2004.11.012

来源: Elsevier

【 摘 要 】

A novel score-level fusion strategy based on quality measures for multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted every time an authentication claim is performed based on the estimated quality of the sensed biometric signals at this time. Experimental results combining written signatures and quality-labelled fingerprints are reported. The proposed scheme is shown to outperform significantly the fusion approach without considering quality signals. In particular, a relative improvement of approximately 20% is obtained on the publicly available MCYT bimodal database. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free