On the Use of Client Identity Information
for Face Antispoofing
Abstract—On the Use of Client Identity Information
for Face Antispoofing. With biometrics playing the role of a password which cannot be replaced if stolen, the necessity of establishing counter-measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of antispoofing systems is to classify the biometric evidence based on features discriminating between real accesses and spoofing attacks. For the first time, < Final Year Projects 2016 > studies the amount of client-specific information within these features and how it affects the performance of antispoofing systems. We make use of this information to build two client-specific antispoofing solutions, one relying on a generative and another one on a discriminative paradigm.