Protecting Face Biometric DCT Templates by Means of Pseudo-random Permutations

  • Marcos Faundez-Zanuy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5641)


Biometric template security and privacy is a great concern of biometric systems, because unlike passwords and tokens, compromised biometric templates cannot be revoked and reissued. In this paper we present a protection scheme based on a user dependent pseudo-random ordering of the DCT template coefficients. In addition to privacy enhancement, this scheme also lets to increase the biometric recognition performance, because a hacker can hardly match a fake biometric sample without knowing the pseudo-random ordering.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Preneel, B.: ENCRYPT: the Cryptographic research challenges for the next decade. In: Blundo, C., Cimato, S. (eds.) SCN 2004. LNCS, vol. 3352, pp. 1–15. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  2. 2.
    Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, Heidelberg (2003)MATHGoogle Scholar
  3. 3.
    Jain, A.K., Nandakumar, K., Nagar, A.: Biometric template security. Eurasip journal on Advances in Signal Processing. Special issue on Biometrics, 1–20 (January 2008)Google Scholar
  4. 4.
    Faundez-Zanuy, M.: On the vulnerability of biometric security systems. IEEE Aerospace and Electronic Systems Magazine 19(6), 3–8 (2004)CrossRefGoogle Scholar
  5. 5.
    Faundez-Zanuy, M.: Biometric security technology. IEEE Aerospace and Electronic Systems Magazine 21(6), 15–26 (2006)CrossRefGoogle Scholar
  6. 6.
    Ratha, N.K., Chikkerur, S., Connell, J.H., Bolle, R.M.: Generating cancellable fingerprint templates. IEEE Trans. on Pattern Analysis and Machine Intelligence 29(4), 561–572 (2007)CrossRefGoogle Scholar
  7. 7.
    Hiltgen, A.P.L.: Constructions of feebly-one-way families of permutations. In: Zheng, Y., Seberry, J. (eds.) AUSCRYPT 1992. LNCS, vol. 718, pp. 422–434. Springer, Heidelberg (1993)CrossRefGoogle Scholar
  8. 8.
    Tuyls, P., Goseling, J.: Capacity and examples of template-protecting biometric authentication systems. In: Maltoni, D., Jain, A.K. (eds.) BioAW 2004. LNCS, vol. 3087, pp. 158–170. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Faundez-Zanuy, M., Roure-Alcobe, J., Espinosa-Duró, V., Ortega, J.A.: An efficient face verification method in a transformed domain. Pattern Recognition Letters 28(7), 854–858 (2007)CrossRefGoogle Scholar
  10. 10.
    Martinez, A.M.: Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class. IEEE Transaction on Pattern Analysis and Machine Intelligence 24(6), 748–763 (2002)CrossRefGoogle Scholar
  11. 11.
    Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET curve in assessment of detection performance. In: European speech Processing Conference Eurospeech 1997, vol. 4, pp. 1895–1898 (1997)Google Scholar
  12. 12.
    Faundez-Zanuy, M.: Signature recognition state-of-the-art. IEEE Aerospace and Electronic Systems Magazine 20(7), 28–32 (2005)CrossRefGoogle Scholar
  13. 13.
    Vivaracho, C., Faundez-Zanuy, M., Gaspar, J.M.: An efficient low cost approach for On-Line signature recognition based on length normalization and fractional distances. Pattern Recognition 42(1), 183–193 (2009)CrossRefMATHGoogle Scholar
  14. 14.
    Fàbregas, J., Faundez-Zanuy, M.: Biometric Dispersion Matcher. Pattern Recognition 41(11), 3412–3426 (2008)CrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marcos Faundez-Zanuy
    • 1
  1. 1.Escola Universitària Politècnica de Mataró (Adscrita a la UPC)MATARO (BARCELONA)Spain

Personalised recommendations