Spiral cube for biometric template protection

Authors:
Chouaib Moujahdi;Sanaa Ghouzali;Mounia Mikram;Mohammed Rziza;George Bebis
Affiliations:
LRIT, Faculty of Sciences, Mohammed V-Agdal University, Rabat, Morocco;LRIT, Faculty of Sciences, Mohammed V-Agdal University, Rabat, Morocco, Information Technology Department, CCIS, King Saud University, Saudi Arabia;LRIT, Faculty of Sciences, Mohammed V-Agdal University, Rabat, Morocco, The School of Information Sciences, Rabat, Morocco;LRIT, Faculty of Sciences, Mohammed V-Agdal University, Rabat, Morocco;Dept of Computer Science and Engineering, University of Nevada, Reno
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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Abstract

In this paper we present a new approach for biometric template protection. Our objective is to build a preliminary non-invertible transformation approach, based on random projection, which meets the requirements of revocability, diversity, security and performance. We use the chaotic behavior of logistic map to build the projection vectors using a new technique that makes the construction of the projection matrix depend on the biometric template and its identity. Experimental results conducted on several face databases show the ability of our technique to preserve and increase the performance of protected systems. Moreover, we demonstrate that the security of our approach is sufficiently robust to possible attacks.