Cancellability for local binary pattern biometric authentication

Munalih Ahmad Syarif, Leslie Ching Ow Tiong, Alwyn Goh, Latifah Mat Nen, Kay Win Lee · 2015

Biometric cancellability enables protection and revocation of sensitive biometric data as used for authentication. This paper describes a cancellable biometric implementation by means of randomised Local Binary Pattern (LBP) feature vector, with user-specific secret-keys used to generate a biometric template. We also present experimental results to establish that authentication undertaken by our methodology is reliable, and also that the objectives of revocability and diversity are accomplished.

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