Increase the security of multibiometric systems by incorporating a spoofing detection algorithm in the fusion mechanism

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6713 LNCS, Issue , 2011, Pages 309-318

  Marasco, Emanuela ^a,c   Johnson, Peter ^b   Sansone, Carlo ^a   Schuckers, Stephanie ^b  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b Wallace H Coulter School of Engineering   (United States)

^c West Virginia University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRIC TRAITS; DETECTION ALGORITHM; FUSION MECHANISM; FUSION RULE; LIVENESS DETECTION; MULTIBIOMETRIC SYSTEMS; MULTIMODAL BIOMETRIC SYSTEMS; MULTIMODAL DATABASE; MULTIMODAL SYSTEM;

BIOMETRICS; SIGNAL DETECTION;

ALGORITHMS;

EID: 80052972273     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21557-5_33     Document Type: Conference Paper

References (15)

1. Jain, A., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Transaction on Circuits and Systems for Video 14(1), 4-20 (2004)
2. Yamada, K., Matsumoto, T., Matsumoto, H., Hoshino, S.: Impact of artificial gummy fingers on fingerprint systems. Optical Security and Counterfait Deterrence Techniques IV 4677, 275-289 (2002)
3. Kittler, J., Li, Y.P., Matas, J., Sanchez,M.U.R.: Combining evidence in multimodal personal identity recognition systems. In: International Conference on Audio- and Video-based Biometric Person Authentication (1997)
4. Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recognition Letters 24, 2115-2125 (2003)
5. Ross, A., Jain, A.: Handbook in MultiBiometrics. Springer, Heidelberg (2008)
6. Rodrigues, R.N., Kamat, N., Govindaraju, V.: Evaluation of biometric spoofing in a multimodal system. In: IEEE International Conference on Biometrics, BTAS (2010)
7. Johnson, P.A., Tan, B., Schuckers, S.: Multimodal fusion vulnerability to non-zero effort (spoof) imposters. In: IEEE International Workshop on Information Forensics and Security, WIFS (2010)
8. Poh, N.: École Polytechnique Fédéral de Lausanne. In: Multi-system biometric authentication: optimal fusion and user-specific information (2006)
9. Roli, F., Kittler, J., Fumera, G., Muntoni, D.: An experimental comparison of classifier fusion rules for multimodal personal identity verification systems. In: Roli, F., Kittler, J. (eds.) MCS 2002. LNCS, vol. 2364, pp. 325-336. Springer, Heidelberg (2002)
10. Dass, S., Nandakumar, K., Jain, A.: A principled approach to score level fusion in multimodal biometric systems. In: Fifth AVBPA, July 2005, pp. 1049-1058 (2005)
11. Vatsa, M., Singh, R., Noore, A., Ross, A.: On the dynamic selection of biometric fusion algorithms. IEEE Transaction on Information Forensics and Security 5(3), 470-479 (2010)
12. Nandakumar, K., Chen, Y., Dass, S., Jain, A.: Likelihood ratio-based biometric score fusion. IEEE Transaction on Pattern Analysis andMachine Intelligence 30(2), 342-347 (2008)
13. Marasco, E., Sansone, C.: An anti-spoofing technique using multiple textural features in fingerprint scanners. In: IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMs), pp. 8-14 (2010)
14. Marcialis, G.L., Lewicke, A., Tan, B., Coli, P., Grimberg, D., Congiu, A., Tidu, A., Roli, F., Schuckers, S.: First international fingerprint liveness detection competition-livDet 2009. In: Foggia, P., Sansone, C., Vento, M. (eds.) ICIAP 2009. LNCS, vol. 5716, pp. 12-23. Springer, Heidelberg (2009)
15. Poh, N., Bourlai, T., Kittler, J.: A multimodal biometric test bed for quality-dependent, cost-sensitive and client-specific score-level fusion algorithms. Pattern Recognition 43, 1094-1105 (2010)