OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
This work addresses security vulnerabilities in biometric recognition systems, but it appears incremental as it builds on existing cancelable biometrics techniques.
The paper tackled the problem of protecting biometric templates from attacks by introducing a cancelable biometrics scheme using time-varying keys from morphed random biometric information, and the results showed it withstands leakage attacks while improving recognition performance.
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.