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Proceedings Paper

A multibiometric face recognition fusion framework with template protection
Author(s): S. Chindaro; F. Deravi; Z. Zhou; M. W. R. Ng; M. Castro Neves; X. Zhou; E. Kelkboom
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Paper Abstract

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.

Paper Details

Date Published: 14 April 2010
PDF: 6 pages
Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670U (14 April 2010); doi: 10.1117/12.849673
Show Author Affiliations
S. Chindaro, Univ. of Kent (United Kingdom)
F. Deravi, Univ. of Kent (United Kingdom)
Z. Zhou, Univ. of Kent (United Kingdom)
M. W. R. Ng, Univ. of Kent (United Kingdom)
M. Castro Neves, Fraunhofer Institute for Computer Graphics Research (Germany)
X. Zhou, Fraunhofer Institute for Computer Graphics Research (Germany)
E. Kelkboom, Philips Research (Netherlands)


Published in SPIE Proceedings Vol. 7667:
Biometric Technology for Human Identification VII
B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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