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Biometric binary string generation with detection rate optimized bit allocation

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4 Author(s)
Chen, C. ; Signals & Syst. Group, Twente Univ., Enschede ; Veldhuis, R.N.J. ; Kevenaar, T.A.M. ; Akkermans, A.H.M.

Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008