Show simple item record Rodrigues, Ricardo Nagel Ling, Lee Luan Govindaraju, Venu 2015-04-17T19:08:03Z 2015-04-17T19:08:03Z 2009
dc.identifier.citation RODRIGUES, Ricardo Nagel; LING, Lee Luan; GOVINDARAJU, Venu. Robustness of multimodal biometric fusion methods against spoof attacks. Journal of Visual Languages and Computing, v. 20, n. 3, p. 169-179, 2009. Disponível em: <>. Acesso em: 31 mar. 2015. pt_BR
dc.identifier.issn 1045-926X
dc.description.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. pt_BR
dc.language.iso eng pt_BR
dc.rights restrict access pt_BR
dc.subject Multimodal biometrics pt_BR
dc.subject Secure biometrics pt_BR
dc.subject Face recognition pt_BR
dc.subject Fingerprint pt_BR
dc.title Robustness of multimodal biometric fusion methods against spoof attacks pt_BR
dc.type article pt_BR
dc.identifier.doi 10.1016/j.jvlc.2009.01.010 pt_BR

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