Performance Based Revocable Biometrics

We show that revocable biometrics can be performance driven in this paper. The main idea is to optimize the verification performance objective directly from a transformation projection for revocable or cancelable biometric applications. Through an error rate cost function, an optimally transformed face template can be obtained for identity concealment. Our preliminary experiments validated the feasibility.

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