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Type: Artigo de periódico
Title: Robustness of multimodal biometric fusion methods against spoof attacks
Author: Rodrigues, RN
Ling, LL
Govindaraju, V
Abstract: In this paper, we address,the security of multimodal biometric systems when one of the modes is successfully spoofed. We propose two novel fusion schemes that can increase the security of multimodal biometric systems. The first is an extension of the likelihood ratio based fusion scheme and the other uses fuzzy logic. Besides the matching score and sample quality score, our proposed fusion schemes also take into account the intrinsic security of each biometric system being fused. Experimental results have shown that the proposed methods are more robust against spoof attacks when compared with traditional fusion methods. (c) 2009 Elsevier Ltd. All rights reserved.
Subject: Multimodal biometrics
Secure biometrics
Face recognition
Country: Inglaterra
Editor: Academic Press Ltd- Elsevier Science Ltd
Rights: fechado
Identifier DOI: 10.1016/j.jvlc.2009.01.010
Date Issue: 2009
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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