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Communication Dans Un Congrès Année : 2010

Obtaining cryptographic keys using feature level fusion of iris and face biometrics for secure user authentication

Résumé

Biometric traits are permanently associated with a user. Though this is an advantage from identity verification point of view, if such biometric data is compromised, it cannot be replaced by a new one and becomes unusable in the system. This limitation can be overcome by combining biometrics with cryptographic techniques to induce revocability in biometric systems. In this paper, a multi-biometrics based cryptographic key regeneration scheme is proposed which combines information from iris and face to obtain a long cryptographic key having high entropy. The biometric information fusion is carried in feature domain using weighted feature level fusion technique. With the proposed system, we obtain 210-bit keys with 183-bit entropy (which is significantly higher than the 83-bit entropy obtained for iris), at a False Acceptance Rate of 0% and a False Rejection Rate of 0.91%
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Dates et versions

hal-01306026 , version 1 (22-04-2016)

Identifiants

Citer

Sanjay Ganesh Kanade, Dijana Petrovska-Delacrétaz, Bernadette Dorizzi. Obtaining cryptographic keys using feature level fusion of iris and face biometrics for secure user authentication. CVPRW 2010 : 33rd IEEE Conference on Computer Vision and Pattern Recognition Workshops, Jun 2010, San-Francisco, United States. pp.138 - 145, ⟨10.1109/CVPRW.2010.5544618⟩. ⟨hal-01306026⟩
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