Towards practical cancelable biometrics for finger vein recognition

Biometrics has nowadays become a preferred solution for systems requiring secure authentication. However, the usage of biometric characteristics raises significant concerns regarding personal data protection and privacy. Several template protection schemes have been therefore proposed to conceal the employed identifiers, while still ensuring the ability to efficiently recognise users. In this paper, we propose and analyse three different approaches generating cancelable templates from finger vein features. A thorough analysis of the considered methods is conducted to investigate their impact on the achievable recognition performance, as well as their security in terms of renewability and unlinkability. Furthermore, a specific attack is designed to evaluate the irreversibility of the protection scheme providing the best recognition performance.