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Secure face biometric verification in the randomized Radon space

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3 Author(s)
Dabbah, M.A. ; Univ. of Newcastle, Newcastle upon Tyne ; Dlay, S.S. ; Woo, W.L.

Biometrics has become a strong candidate to replace traditional authentication systems however biometric data in itself is vulnerable and requires protection. This paper presents a new method to protect face biometric data using one-way transformation in which original face images cannot be retrieved. The secure and reissueable templates are generated by utilizing the Radon transformed signatures of the face biometric and a multi-space random projection. Using an image-based statistical algorithm, authentication is conducted on the transformed templates without the need to reverse them back. Genuine and impostor distributions separation was also improved by 13.82% leading to a 41.35% reduction in the equal error rate.

Published in:

Multimedia and Expo, 2008 IEEE International Conference on

Date of Conference:

June 23 2008-April 26 2008