Biometric authentication using augmented face and random projection

Abstract

In this paper, we propose a revocable and privacy preserving template of face biometrics based on random projection. The face biometric is augmented and simultaneously projected onto random subspace. The face image vector is augmented by adding the vector whose elements are varying with zero mean. The augmented face vector can provide better accuracy of authentication and privacy preservation. We analyze the similarity, privacy preserving and security properties of the proposed augmented face biometric information in the random projection-domain. To demonstrate the feasibility of the proposed method, detailed theoretical analysis and several experimental results are provided. The results show that our method is able to provide revocability and privacy preservation while offering better authentication accuracy and security.