Face Transparent User Authentication Respecting Privacy
Takoua Guiga, Jean-Jacques Schwartzmann, Christophe Rosenberger · 2021
User authentication is an important issue to guarantee the security of information systems. For users, this task is in general inconvenient and boring. We propose in this paper a new transparent user authentication based on face recognition. During the use of a laptop or a smartphone, face features are computed, protected and sent to a trust party server that measures at any time the confidence of the user being the legitimate one. Authentication is transparent for the user while ensuring his/her security and privacy. We show through experiments with the AR face dataset the benefit of the proposed approach.