Abstract
In this paper we apply template protection to an authentication system based on 3D face data in order to protect the privacy of its users. We use the template protection system based on the helper data system (HDS). The experimental results performed on the FRGC v2.0 database demonstrate that the performance of the protected system is of the same order as the performance of the unprotected system. The protected system has a performance of a FAR ≈ 0.19% and a FRR ≈ 16% with a security level of 35 bits.
Chapter PDF
References
Juels, A., Wattenberg, M.: A fuzzy commitment scheme. In: 6th ACM Conference on Computer and Communications Security, pp. 28–36. ACM Press, New York (1999)
Juels, A., Sudan, M.: A fuzzy vault scheme. In: ISIT 2002. Proc. of the 2002 International Symposium on Information Theory, Lausanne (2002)
Ratha, N.K., Connell, J.H., Bolle, R.M.: Enhancing security and privacy in biometrics-based authentication systems. IBM Systems Journal 40, 614–634 (2001)
Dodis, Y., Reyzin, L., Smith, A.: Fuzzy extractors: How to generate strong secret keys from biometrics and other noisy data. In: Cachin, C., Camenisch, J.L. (eds.) EUROCRYPT 2004. LNCS, vol. 3027, pp. 532–540. Springer, Heidelberg (2004)
Verbitskiy, E., Tuyls, P., Denteneer, D., Linnartz, J.P.: Reliable biometric authentication with privacy protection. In: Proc. of the 24th Symp. on Inf. Theory in the Benelux, Veldhoven, The Netherlands, pp. 125–132 (2003)
Linnartz, J.-P., Tuyls, P.: New shielding functions to enhance privacy and prevent misuse of biometric templates. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, Springer, Heidelberg (2003)
Kevenaar, T.A.M., Schrijen, G.-J., Akkermans, A.H.M., van der Veen, M., Zou, F.: Face recognition with renewable and privacy preserving binary templates. In: 4th IEEE workshop on AutoID, Buffalo, New York, USA, pp. 21–26. IEEE Computer Society Press, Los Alamitos (2005)
Tuyls, P., Akkermans, A.H.M., Kevenaar, T.A.M., Schrijnen, G.J., Bazen, A.M., Veldhuis, R.N.J.: Pratical biometric authentication with template protection. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, Springer, Heidelberg (2005)
Gökberk, B., Irfanoglu, M.O., Akarun, L.: 3D shape-based face representation and feature extraction for face recognition. Image and Vision Computing 24, 857–869 (2006)
Purser, M.: Introduction to Error-Correcting Codes. Artech House, Boston (1995)
Phillips, P.J., Flynn, P.J., Scruggs, T., Bowyer, K.W., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.: Overview of the face recognition grand challenge. In: IEEE CVPR, vol. 2, pp. 454–461. IEEE Computer Society Press, Los Alamitos (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kelkboom, E.J.C., Gökberk, B., Kevenaar, T.A.M., Akkermans, A.H.M., van der Veen, M. (2007). “3D Face”: Biometric Template Protection for 3D Face Recognition. In: Lee, SW., Li, S.Z. (eds) Advances in Biometrics. ICB 2007. Lecture Notes in Computer Science, vol 4642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74549-5_60
Download citation
DOI: https://doi.org/10.1007/978-3-540-74549-5_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74548-8
Online ISBN: 978-3-540-74549-5
eBook Packages: Computer ScienceComputer Science (R0)