Combining match scores with liveness values in a fingerprint verification system

2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012

Volumn , Issue , 2012, Pages 418-425

  Marasco, Emanuela ^a   Ding, Yaohui ^a   Ross, Arun ^a  

^a West Virginia University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FINGERPRINT LIVENESS DETECTION; FINGERPRINT MATCHER; FINGERPRINT VERIFICATION; FINGERPRINT VERIFICATION SYSTEM; LIVENESS; MATCH SCORE;

BAYESIAN NETWORKS;

BIOMETRICS;

EID: 84871977158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2012.6374609     Document Type: Conference Paper

References (26)

1. F. Brucker, F. Benited, and E. Sapozhnikova. Multi-label classification and extracting predicted class hierachies. Pattern Recognition, 44:724-738, 2011. 3
2. R. Duda, P. Hart, and D. Stork. Pattern Classification. Wiley, New York, 2. edition, 2001. 4
3. J. Galbally-Herrero, J. Fierrez-Aguilar, J. D. Rodriguez-Gonzalez, F. Alonso-Fernandez, J. Ortega-Garcia, and M. Tapiador. On the vulnerability of fingerprint verification systems to fake fingerprint attacks. pages 130-136, October 2006. 1
4. D. Heckerman. A tutorial on learning with bayesian networks. Technical Report MSR-TR-95-06, November 1996. 3
5. A. Jain, A. Ross, and S. Prabhakar. An introduction to biometric recognition. IEEE Transaction on Circuits and Systems for Video, 14(1):4-20, January 2004. 4
6. F. Jensen and T. Nielsen. Bayesian networks and decision graphs. Springer, 2007. 3
7. P. Johnson, B. Tan, and S. Schuckers. Multimodal fusion vulnerability to non-zero effort (spoof) imposters. IEEE International Workshop on Information Forensics and Security (WIFS), pages 1-5, 2010. 1
8. A. Likas. Probability density estimation using artificial neural networks. Computer Physics Communications, 135:167-175, 2001. 6
9. P. Lucas. Bayesian network modelling through qualitative patterns. Artificial Intelligence, pages 163-233, 2005. 4
10. E. Marasco, P. Johnson, C. Sansone, and S. Schuckers. Increase the security of multibiometric systems by incorporating a spoofing detection algorithm in the fusion mechanism. The 10th International Workshop on Multiple Classifer Systems (MCS), June 2011. 1
11. E. Marasco and C. Sansone. An anti-spoofing technique using multiple textural features in fingerprint scanners. IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMs), pages 8-14, 2010. 5
12. E. Marasco and C. Sansone. Combining perspiration- and morphology-based static features for fingerprint liveness detection. Pattern Recognition Letters, 33:1148-1156, 2012. 5
13. G. Marcialis, A. Lewicke, B. Tan, P. Coli, D. Grimberg, A. Congiu, A. Tidu, F. Roli, and S. Schuckers. First international fingerprint liveness detection competition (LivDet09). The 15th International Conference on Image Analysis and Processing (ICIAP), pages 12-23, September 2009. 2, 5
14. T. Matsumoto, H. Matsumoto, K. Yamada, and S. Hoshino. Impact of artificial gummy fingers on fingerprint systems. Optical Security and Counterfeit Deterrence Techniques IV, 4677:275-289, January 2002. 1
15. D. Maurer and J. Baker. Fusing multimodal biometrics with quality estimates via a bayesian belief network. Pattern Recognition, 41(3):821-832, March 2008. 3
16. K. Nixon, V. Aimale, and R. Rowe. Spoof detection schemes. Handbook of Biometrics, 2008. 1
17. N. Poh and J. Kittler. A unified framework for biometric expert fusion incorporating quality measures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(1):3-18, 2012. 4
18. J. Quevedo, O. Luaces, and A. Bahamonde. Multilabel classifiers with a probabilistic thresholding strategy. Pattern Recognition, 44:724-738, 2011. 3
19. R. Rodrigues, N. Kamat, and V. Govindaraju. Evaluation of biometric spoofing in a multimodal system. IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2010. 1
20. R. Rodrigues, L. Ling, and V. Govindaraju. Robustness of multimodal biometric fusion methods against spoof attacks. Journal of Visual Languages and Computing, 2009. 1
21. A. Ross and A. Jain. Information fusion in biometrics. Pattern Recognition Letters 24, pages 2115-2125, 2003. 3
22. A. Ross, A. Jain, and K. Nandakumar. Introduction to Biometrics: A Textbook. Springer, 2011. 3
23. A. Ross, K. Nandakumar, and A. Jain. Handbook of Multi- Biometrics. Springer, 2006. 3
24. S. Schuckers. Spoofing and anti-spoofing measures. Information Security Technical Report, 7(4):56-62, 2002. 1
25. V. Sheng and C. Ling. Thresholding for making classifiers cost-sensitive. the 21st National Conference on Artificial Intelligence, pages 476-481, July 2006. 5, 6
26. S. Yanushkevich. Belief network design for biometric systems. Computational Intelligence in Biometrics and Identity Management (CIBIM), pages 1-10, April 2011. 4