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11335 Multi-bits biometric string generation based on the likelyhood ratio
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Chen, Chun and Veldhuis, R.N.J. and Kevenaar, T.A.M. and Akkermans, A.H.M. (2007) Multi-bits biometric string generation based on the likelyhood ratio. In: IEEE conference on Biometrics: Theory, Applications and Systems, 27-29 Sep 2007, Washington DC. pp. 1-6. University of Notre Dame. ISBN 978-1-4244-1597-7

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Official URL: http://dx.doi.org/10.1109/BTAS.2007.4401912

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Abstract

Preserving the privacy of biometric information
stored in biometric systems is becoming a key issue. An
important element in privacy protecting biometric systems is
the quantizer which transforms a normal biometric template
into a binary string. In this paper, we present a user-specific quantization method based on a likelihood ratio approach (LQ).
The bits generated from every feature are concatenated to form a fixed length binary string that can be hashed to protect its privacy. Experiments are carried out on both fingerprint data (FVC2000) and face data (FRGC). Results show that our proposed quantization method achieves a reasonably good performance in terms of FAR/FRR (when FAR is 10−4, the corresponding FRR are 16.7% and 5.77% for FVC2000 and FRGC, respectively).

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:11335
Status:Published
Deposited On:28 November 2007
Refereed:Yes
International:Yes
More Information:statisticsmetis

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