| dc.creator | Rodrigues, RN | |
| dc.creator | Ling, LL | |
| dc.creator | Govindaraju, V | |
| dc.date | 2009 | |
| dc.date | JUN | |
| dc.date | 2014-11-17T20:25:04Z | |
| dc.date | 2015-11-26T16:46:19Z | |
| dc.date | 2014-11-17T20:25:04Z | |
| dc.date | 2015-11-26T16:46:19Z | |
| dc.date.accessioned | 2018-03-28T23:32:06Z | |
| dc.date.available | 2018-03-28T23:32:06Z | |
| dc.identifier | Journal Of Visual Languages And Computing. Academic Press Ltd- Elsevier Science Ltd, v. 20, n. 3, n. 169, n. 179, 2009. | |
| dc.identifier | 1045-926X | |
| dc.identifier | WOS:000266347300005 | |
| dc.identifier | 10.1016/j.jvlc.2009.01.010 | |
| dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/71195 | |
| dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/71195 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/71195 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1274477 | |
| dc.description | 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. | |
| dc.description | 20 | |
| dc.description | 3 | |
| dc.description | 169 | |
| dc.description | 179 | |
| dc.language | en | |
| dc.publisher | Academic Press Ltd- Elsevier Science Ltd | |
| dc.publisher | London | |
| dc.publisher | Inglaterra | |
| dc.relation | Journal Of Visual Languages And Computing | |
| dc.relation | J. Vis. Lang. Comput. | |
| dc.rights | fechado | |
| dc.rights | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
| dc.source | Web of Science | |
| dc.subject | Multimodal biometrics | |
| dc.subject | Secure biometrics | |
| dc.subject | Face recognition | |
| dc.subject | Fingerprint | |
| dc.subject | Identity Verification | |
| dc.subject | Face | |
| dc.title | Robustness of multimodal biometric fusion methods against spoof attacks | |
| dc.type | Artículos de revistas | |
