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18786 Analytical template protection performance and maximum key size given a Gaussian-modeled biometric source
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Kelkboom, E.J.C. and Breebaart, J. and Buhan, I.R. and Veldhuis, R.N.J. (2010) Analytical template protection performance and maximum key size given a Gaussian-modeled biometric source. In: Biometric Technology for Human Identification VII, 5-9 Apr 2010, Orlando, Florida. pp. 1-12. Proceedings of SPIE 7667. SPIE--The International Society for Optical Engineering. ISSN 0277-786X ISBN 978-0-81948-131-3

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Official URL: http://dx.doi.org/10.1117/12.850240

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Abstract

Template protection techniques are used within biometric systems in order to protect the stored biometric template against privacy and security threats. A great portion of template protection techniques are based on extracting a key from or binding a key to a biometric sample. The achieved protection depends on the size of the key and its closeness to being random. In the literature it can be observed that there is a large variation on the reported key lengths at similar classification performance of the same template protection system, even when based on the same biometric modality and database. In this work we determine the analytical relationship between the system performance and the theoretical maximum key size given a biometric source modeled by parallel Gaussian channels. We consider the case where the source capacity is evenly distributed across all channels and the channels are independent. We also determine the effect of the parameters such as the source capacity, the number of enrolment and verification samples, and the operating point selection on the maximum key size. We show that a trade-off exists between the privacy protection of the biometric system and its convenience for its users.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-SAS: Signals and Systems, EWI-DB: Databases
Research Program:CTIT-ISTRICE: Integrated Security and Privacy in a Networked World
Research Project:3D Face
Additional Information:Template protection, binary biometrics, biometric security, biometric privacy
ID Code:18786
Status:Published
Deposited On:22 November 2010
Refereed:Yes
International:Yes
More Information:statisticsmetis

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