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Secure Biometric Hashing by Random Fusion of Global and Local Features  

Ou, Yang (Department of Information Security, Pukyong National University)
Rhee, Kyung-Hyune (Department of IT Convergence and Application Engineering, Pukyong National University)
Publication Information
Journal of Korea Multimedia Society / v.13, no.6, 2010 , pp. 875-883 More about this Journal
Abstract
In this paper, we present a secure biometric hashing scheme for face recognition by random fusion of global and local features. The Fourier-Mellin transform and Radon transform are adopted respectively to form specialized representation of global and local features, due to their invariance to geometric operations. The final biometric hash is securely generated by random weighting sum of both feature sets. A fourfold key is involved in our algorithm to ensure the security and privacy of biometric templates. The proposed biometric hash can be revocable and replaced by using a new key. Moreover, the attacker cannot obtain any information about the original biometric template without knowing the secret key. The experimental results confirm that our scheme has a satisfactory accuracy performance in terms of EER.
Keywords
Biometric Hashing; Multi-biometrics; Feature Fusion;
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