Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function.

ABSTRACT: With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, aiming at unlocking someone else's smartphone, deceives the built-in face recognition system by presenting a printed image of the user. In this work, we study the problem of automatically detecting presentation attacks against face authentication methods, considering the use-case of fast device unlocking and hardware constraints of mobile devices. To enrich the understanding of how a purely software-based method can be used to tackle the problem, we present a solely data-driven approach trained with multi-resolution patches and a multi-objective loss function crafted s

SUBMITTER: Almeida WR 

PROVIDER: S-EPMC7473524 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature