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A multibiometric face recognition fusion framework with template protection

: Chindaro, Samuel; Deravi, Farzin; Zhou, Ziheng; Ng, Ming; Castro Neves, Margarida; Zhou, Xuebing; Kelkboom, Emile


Kumar Vijaya, B.V.K. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Biometric technology for human identification VII : 5 - 6 April 2010, Orlando, Florida, United States
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7667)
ISBN: 978-0-8194-8131-3
Paper 76670U
Biometric Technology for Human Identification Conference <7, 2010, Orlando/Fla.>
Defense, Security, and Sensing Exhibition <2010, Orlando/Fla.>
Fraunhofer IGD ()
3D face recognition; biometric template protection; biometric fusion; biometrics; privacy protection

In this work we present a multibiometric face recognition framework based on combining information from 2D with 3D facial features. The 3D biometrics channel is protected by a privacy enhancing technology, which uses error correcting codes and cryptographic primitives to safeguard the privacy of the users of the biometric system at the same time enabling accurate matching through fusion with 2D. Experiments are conducted to compare the matching performance of such multibiometric systems with the individual biometric channels working alone and with unprotected multibiometric systems. The results show that the proposed hybrid system incorporating template protection, match and in some cases exceed the performance of corresponding unprotected equivalents, in addition to offering the additional privacy protection.