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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Biometric binary string generation with detection rate optimized bit allocation
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
C. Chen, Signals and Systems Group, Electrical Engineering, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
R.N.J. Veldhuis, Signals and Systems Group, Electrical Engineering, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
T.A.M. Kevenaar, Signals and Systems Group, Electrical Engineering, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
A.H.M. Akkermans, Signals and Systems Group, Electrical Engineering, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
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.
Citation:
C. Chen, R.N.J. Veldhuis, T.A.M. Kevenaar, A.H.M. Akkermans, "Biometric binary string generation with detection rate optimized bit allocation," cvprw, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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