Finger-Vein Template Protection based on Alignment-Free Hashing
Simon Kirchgasser, Andreas Uhl, Yen-Lung Lai, Zhe Jin · 2019
Privacy preserving storage and secure processing of biometric data is a key issue that has to be addressed in finger-vein recognition systems as well. Various template protection approaches originally proposed for well established biometric modalities have been adopted to the domain of finger-vein authentication. However, these adopted methods have the disadvantage that they are not designed for finger-vein patterns in particular and are thus suboptimal in the one or other way. In this study we propose an alignment-free template protection scheme that is based on an efficient binary representation of finger-vein patterns on the one hand and is further using the advantages of IoM hashing to fulfil mandatory privacy and security based characteristics. The proposed method is compared to block-remapping and warping regarding recognition performance and is analysed with respect to security and privacy aspects.