  Cancelable biometrics refers to a group of techniques in which the biometric
inputs are transformed intentionally using a key before processing or storage.
This transformation is repeatable enabling subsequent biometric comparisons.
This paper introduces a new scheme for cancelable biometrics aimed at
protecting the templates against potential attacks, applicable to any
biometric-based recognition system. Our proposed scheme is based on
time-varying keys obtained from morphing random biometric information. An
experimental implementation of the proposed scheme is given for face
biometrics. The results confirm that the proposed approach is able to withstand
against leakage attacks while improving the recognition performance.
