Formal to Practical Security pp 57-69

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5458) | Cite as

Fake Fingers in Fingerprint Recognition: Glycerin Supersedes Gelatin

  • Claude Barral
  • Assia Tria

Abstract

Fingerprint Recognition currently widespreads in numerous identity verification applications such as electronic ID cards, travel documents, access control and time attendance. Security issues with the condition of use of the authentication device is a major concern in such applications. Recent publication in this field shows the lack of aliveness detection mechanism in fingerprint sensors technology, especially by using Gelatin-made fake fingers. Different material may be used to mold and reproduce exact copy of a fingerprint with its detailed shape and extended characteristics (e.g. minutiae points location). In this paper we will present a state-of-the-art of fake finger materials and disclose the power of a, let’s say, brand new material in this field: Glycerin

Keywords

Biometrics Fingerprint Recognition Fake Fingers Identity Verification Fingerprint Sensors Aliveness Detection 

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References

  1. 1.
    Antonelli, A., Cappelli, R., Maio, D., Maltoni, D.: A new approach to fake finger detection based on skin distortion. In: Zhang, D., Jain, A.K. (eds.) ICB 2005. LNCS, vol. 3832, pp. 221–228. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  2. 2.
    Fingerprint Duplication Archive. How to duplicate your fingerprints, www.journalofaestheticsandprotest.org/4/fingerprint/fingerprint.pdf (last access, 2008/06/15)
  3. 3.
    Barral, C., Vaudenay, S.: A protection scheme for moc-enabled smart cards. In: IEEE - Biometric Consortium Conference, 2006 Biometrics Symposium: Special Session on Research at the (2006)Google Scholar
  4. 4.
    Chaos Computer Club. How to fake fingerprints? http://www.ccc.de/biometrie/fingerabdruck_kopieren.xml?language=en (last access, 2008/06/15)
  5. 5.
    Domingo-Ferrer, J., Chan, D., Watson, A. (eds.): Smart Card Research and Advanced Applications, Proceedings of the Fourth Working Conference on Smart Card Research and Advanced Applications, CARDIS 2000, Bristol, UK, September 20-22. IFIP Conference Proceedings, vol. 180. Kluwer, Dordrecht (2000)MATHGoogle Scholar
  6. 6.
    Hachez, G., Koeune, F., Quisquater, J.-J.: Biometrics, Access Control, Smart Cards: A not so simple combination. In: Domingo-Ferrer, et al. (eds.) [5], pp. 273–288Google Scholar
  7. 7.
    Innovatrics. Id_demo, http://www.innovatrics.com/products/iddemo/ (last access, 2008/06/15)
  8. 8.
    International Business Machines Corp. The consideration of data security in a computer environment. IBM, Data Processing Division (1968)Google Scholar
  9. 9.
    Jain, A., Bolle, R., Pankanti, S.: Biometrics - Personal Identification in Networked Society. Kluwer Academic Publishers, Dordrecht (1999)Google Scholar
  10. 10.
    Jain, A.K., Chen, Y., Demirkus, M.: Pores and ridges: High-resolution fingerprint matching using level 3 features. IEEE Trans. Pattern Anal. Mach. Intell. 29(1), 15–27 (2007)CrossRefGoogle Scholar
  11. 11.
    Jia, J., Cai, L., Zhang, K., Chen, D.: A new approach to fake finger detection based on skin elasticity analysis. In: Lee, Li (eds.) [12], pp. 309–318Google Scholar
  12. 12.
    Lee, S.-W., Li, S.Z. (eds.): ICB 2007. LNCS, vol. 4642. Springer, Heidelberg (2007)Google Scholar
  13. 13.
  14. 14.
    Mainguet, J.-F., Pégulu, M., Harris, J.B.: Fingerprint recognition based on silicon chips. Future Generation Comp. Syst. 16(4), 403–415 (2000)CrossRefGoogle Scholar
  15. 15.
    Matsumoto, T.: Gummy and conductive silicone rubber fingers. In: Zheng, Y. (ed.) ASIACRYPT 2002. LNCS, vol. 2501, pp. 574–575. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  16. 16.
    Matsumoto, T., Matsumoto, H., Yamada, K., Hoshino, S.: Impact of artificial gummy fingers on fingerprint systems. In: Optical Security and Counterfeit Deterrence Techniques IV, proceedings of SPIE, vol. 4677, pp. 275–289 (2002)Google Scholar
  17. 17.
    NEUROtechnology. Verifinger sdk, http://www.neurotechnology.com/vf_sdk.html (last access, 2008/06/15)
  18. 18.
    Parthasaradhi, S.T.V., Derakhshani, R., Hornak, L.A., Schuckers, S.A.C.: Time-series detection of perspiration as a liveness test in fingerprint devices. IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(3), 335–343 (2005)CrossRefGoogle Scholar
  19. 19.
    The Register. Get your german interior minister’s fingerprint here, http://www.theregister.co.uk/2008/03/30/german_interior_minister_fingerprint_appropriated/ (last access, 2008/06/15)
  20. 20.
    Rowe, R.K.: Biometrics based on multispectral skin texture. In: Lee, Li (eds.) [12], pp. 1144–1153Google Scholar
  21. 21.
    Sandström, M.: Liveness detection in fingerprint recognition systems. Master thesis, Linköping university, Sweden (2004)Google Scholar
  22. 22.
    Schuckers, S.: Clarkson university engineer outwits high-tech fingerprint fraud, http://www.yubanet.com/cgi-bin/artman/exec/view.cgi/38/28878 (last access, 2008/06/15)
  23. 23.
    van der Putte, T., Keuning, J.: Biometrical fingerprint recognition: Don’t get your fingers burned. In: Domingo-Ferrer, et al. (eds.) [5], pp. 289–306Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Claude Barral
    • 1
    • 2
  • Assia Tria
    • 1
  1. 1.Equipe de Recherche CommuneCEA-Leti / Ecole des Mines de St EtienneGardanneFrance
  2. 2.EPFL LausanneSwitzerland

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