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14290 Biometric binary string generation with detection rate optimized bit allocation
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Chen, Chun and Veldhuis, R.N.J. and Kevenaar, T.A.M. and Akkermans, A.H.M. (2008) Biometric binary string generation with detection rate optimized bit allocation. In: 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshop on Biometrics, 24-28 Jun 2008, Anchorage, Alaska, US. pp. 1-7. IEEE Computer Society. ISBN 978-1-4244-2340-8

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Official URL: http://dx.doi.org/10.1109/CVPRW.2008.4563112

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Abstract

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.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-SAS: Signals and Systems
Research Program:CTIT-ISTRICE: Integrated Security and Privacy in a Networked World
Research Project:ProBiTe: Protection of Biometric Templates
ID Code:14290
Status:Published
Deposited On:04 December 2008
Refereed:Yes
International:Yes
More Information:statisticsmetis

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