Local binary pattern and wavelet-based spoof fingerprint detection

International Journal of Biometrics

Volumn 1, Issue 2, 2008, Pages 141-159

  Bhausaheb Nikam, Shankar ^a   Agarwal, Suneeta ^a  

^a MOTILAL NEHRU NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

biometrics; fingerprints; liveness; spoof; texture; wavelets

Indexed keywords

EID: 84945726542     PISSN: 17558301     EISSN: 1755831X     Source Type: Journal    
DOI: 10.1504/IJBM.2008.020141     Document Type: Article

References (34)

1. Ahonen, T. and Pietikainen, M. (2006) ‘Face description with local binary patterns: application to face recognition’, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 12, pp.2037–2041.
2. Antonelli, A., Cappelli, R., Maio, D. and Maltoni, D. (2006) ‘Fake finger detection by skin distortion analysis’, IEEE Transactions on Information Forensics and Security, Vol. 1, No. 3, pp.360–373.
3. Baldisserra, D., Franco, A., Maio, D. and Maltoni, D. (2005) ‘Fake finger detection by odor analysis’, in Proceedings of ICB, LNCS 3832, Springer-Verlag Heidelberg, pp.265–272.
4. Coli, P., Marcialis, G. S. and Roli, F. (2007) ‘Power spectrum-based fingerprint vitality detection’, in Proceedings of IEEE Workshop on Automatic Identification Advanced Technologies, pp.169–173.
5. Derakhshani, R., Schuckers, S., Hornak, L. and O’Gorman, L. (2003) ‘Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners’, Pattern Recognition, Vol. 36, No. 2, pp.383–396.
6. Drahansky, M., Notzel, R. and Funk, W. (2006) ‘Liveness detection based on fine movements of the fingertip surface’, in Proceedings of IEEE Workshop on Information Assurance, United States Military Academy, West Point, NY, pp.42–47.
7. Freund, Y. and Schapire, R.E. (1997) ‘Decision-theoretic generalization of online learning and an application to boosting’, Journal of Computer and System Sciences, Vol. 55, No. 1, pp.119–139.
8. Kallo, P., Kiss, I., Podmaniezky, A. and Talosi, J. (2001) Detector for Recognizing the Living Character of a Finger in a Fingerprint Recognizing Apparatus, US Patent # 6 175 64.
9. Kang, H., Lee, B., Kim, H., Shin, D. and Kim, J. (2003) ‘A study on performance evaluation of the liveness detection for various fingerprint sensor modules’, in Proceedings of KES, pp.1245–1253.
10. Laine, A. and Fan, J. (1993) ‘Texture classification by wavelet packet signatures’, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, pp.1186–1191.
11. Lapsley, P.D., Less, J.A., Pare, D.F., Jr. and Hoffman, N. (1998) Anti-fraud Biometric Sensor that Accurately Detects Blood Flow, US Patent # 5 737 439.
12. Martinsen, O., Clausen, S., Nysaether, J. and Grimnes, S. (2007) ‘Utilizing characteristic electrical properties of the epidermal skin layers to detect fake fingers in biometric fingerprint systems-a pilot study’, IEEE Transactions on Biomedical Engineering, Vol. 54, No. 5, pp.891–894.
13. Matsumoto, T., Matsumoto, H., Yamada, K. and Hoshino, S. (2002) ‘Impact of artificial ‘gummy’ fingers on fingerprint systems’, in Proceedings of SPIE, Vol. 4677, pp.275–289.
14. Moon, Y.S., Chen, J.S., Chan, K.C., So, K. and Woo, K.C. (2005) ‘Wavelet-based fingerprint liveness detection’, Electronic Letters, Vol. 41, No. 20, pp.1112–1113.
15. Nixon, K. (2004) ‘Novel spectroscopy-based technology for biometric and liveness verification’, in Proceedings of SPIE, Vol. 5404, pp.287–295.
16. Ojala, T., Pietikainen, M. and Maenpaa, T. (2002) ‘Multi-resolution gray-scale and rotation invariant texture classification with local binary patterns’, IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol. 24, No. 7, pp.971–987.
17. Ojala, T., Valkealahti, K., Oja, E. and Pietikainen, M. (2001) ‘Texture discrimination with multi-dimensional distributions of signed gray level differences’, Pattern Recognition, Vol. 24, pp.727–739.
18. Osten, D., Carim, H.M., Arneson, M.R. and Blan, B.L. (1998) Biometric Personal Authentication System, US Patent #5 719 950.
19. Parthasaradhi, S.T.V, Derakhshani, R., Hornak, L. and Schuckers, S. (2005) ‘Time-series detection of perspiration as a liveness test in fingerprint scanners’, IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, Vol. 35, No. 3, pp.335–343.
20. Pietikainen, M., Ojala, T. and Xu, Z. (2000) ‘Rotation invariant texture classification using feature distributions’, Pattern Recognition, Vol. 33, pp.43–52.
21. Polikar, R. (2006) ‘Ensemble based systems in decision making- feature article’, IEEE Circuits and Systems Magazine, Third quarter, pp.21–45.
22. Pudil, P., Novovicova, J. and Kittler, J. (1994) ‘Floating search methods in feature selection’, Pattern Recognition Letters, Vol. 15, pp.1119–1125.
23. Putte, T.V.D. and Keuning, J. (2000) ‘Biometrical fingerprint recognition: don’t get your fingers burned’, in Proceedings of 4th Working Conference on Smart Card Research and Advanced Applications, pp.289–303.
24. Ratha, N.K., Connell, J.H. and Bolle, R.M. (2001) ‘Enhancing security and privacy in biometrics-based authentication systems’, IBM Systems Journal, Vol. 40, No. 3, pp.614–634.
25. Roberts, C. (2007) ‘Biometric attack vectors and defenses’, Computers and Security, Vol. 26, pp.14–25.
26. Schuckers, S. and Abhyankar, A. (2004) ‘Detecting liveness in fingerprint scanners using wavelets: results of the test dataset’, in Proceedings of BioAW, LNCS 3087, Springer-Verlag Heidelberg, pp.100–110.
27. Schuckers, S.A.C. (2002) ‘Spoofing and anti-spoofing measures’, Information Security Technical Report, Vol. 7, No. 4, pp.56–62.
28. Tan, B. and Schuckers, S. (2006) ‘Liveness detection for fingerprint scanners based on statistics of wavelet signal processing’, in Proceedings of the IEEE 2006 Conference on Computer Vision and Pattern Recognition Workshop.
29. Thalheim, L., Krissler, J. and Ziegler P. (2002) ‘Body check: biometric access protection devices and their programs put to test’, C’t Magazine, Biometrie, p. 114.
30. Uludag, U. and Jain, A.K. (2004) ‘Attacks on biometric systems: a case study in fingerprints’, in Proceedings of SPIE-EI 2004, Security, Stegnography and Watermarking of Multi-media Contents VI, San Jose, California, Vol. 5306, pp.622–633.
31. Unser, M. (1995) ‘Texture classification and segmentation using wavelet frames’, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 4, No. 11, pp.1549–1560.
32. Vapnik, V.N. (1999) The Nature of Statistical Learning Theory (Information Science and Statistics), Springer-Verlag.
33. Wang, P., Krishnan, S.M., Kugean, C. and Tjoa, M.P. (2001) ‘Classification of endoscopic images based on texture and neural network’, in Proceedings of the 23rd Annual EMBS International Conference, Turkey, pp.3691–3695.
34. Wang, X., Gong, H., Zhang, H., Li, B. and Zhuang, Z. (2006) ‘Palmprint identification using boosting local binary pattern operator’, in Proceedings of 18th International Conference on Pattern Recognition, Vol. 3, pp.503–506.