Protecting Face Biometric DCT Templates by Means of Pseudo-random Permutations
Biometric template security and privacy is a great concern of biometric systems, because unlike passwords and tokens, compromised biometric templates cannot be revoked and reissued. In this paper we present a protection scheme based on a user dependent pseudo-random ordering of the DCT template coefficients. In addition to privacy enhancement, this scheme also lets to increase the biometric recognition performance, because a hacker can hardly match a fake biometric sample without knowing the pseudo-random ordering.
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