The vulnerability of face recognition systems to presentation attacks (also known as direct
attacks or spoof attacks) has received a great deal of interest from the biometric community …

Designing reliable user authentication on mobile phones is becoming an increasingly
important task to protect users' private information and data. Since biometric approaches can …

Though having achieved some progresses, the hand-crafted texture features, eg, LBP [23],
LBP-TOP [11] are still unable to capture the most discriminative cues between genuine and …

Recently deep Convolutional Neural Networks have been successfully applied in many
computer vision tasks and achieved promising results. So some works have introduced the …

In recent decades, we have witnessed the evolution of biometric technology from the first
pioneering works in face and voice recognition to the current state of development wherein a …

Face antispoofing has now attracted intensive attention, aiming to assure the reliability of
face biometrics. We notice that currently most of face antispoofing databases focus on data …

Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …

Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …

Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate
access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still …

The problem of detecting face spoofing attacks (presentation attacks) has recently gained a
well-deserved popularity. Mainly focusing on 2D attacks forged by displaying printed photos …