Biometric Template Protection for Neural-Network-based Face Recognition Systems: A Survey of Methods and Evaluation Techniques. (arXiv:2110.05044v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2110.05044

This paper presents a survey of biometric template protection (BTP) methods
for securing face templates in neural-network-based face recognition systems.
The BTP methods are categorised into two types: Non-NN and NN-learned. Non-NN
methods use a neural network (NN) as a feature extractor, but the BTP part is
based on a non-NN algorithm applied at image-level or feature-level. In
contrast, NN-learned methods specifically employ a NN to learn a protected
template from the unprotected face image/features. We present examples of
Non-NN …

arxiv cv evaluation face recognition network neural survey systems