In light of the rising demand for biometric-authentication systems, preventing face spoofing
attacks is a critical issue for the safe deployment of face recognition systems. Here, we …

In light of the rising demand for biometric-authentication systems, preventing face spoofing
attacks is a critical issue for the safe deployment of face recognition systems. Here, we …

Biometrics emerged as a robust solution for security systems. However, given the
dissemination of biometric applications, criminals are developing techniques to circumvent …

Currently, face recognition technology (FRT) has been applied ubiquitously. However, due
to the abuse of personal face photos on social media, FRT has encountered unprecedented …

In recent years, convolutional neural network (CNN) has achieved satisfactory performance
in computer vision and pattern recognition. When we visualize the convolutional responses …

In this paper, we propose a novel framework leveraging the advantages of the
representational ability of deep learning and domain generalization for face spoofing …

A face‐based authentication system has become an important topic in various fields of IoT
applications such as identity validation for social care, crime detection, ATM access …

Face verification systems are prone to spoofing attacks on photos, videos, and 3D masks.
Face spoofing detection, ie, face anti-spoofing, face liveness detection, or face presentation …

Biometrics has been increasingly used as a safe and convenient technique for people
identification. Despite the higher security of biometric systems, criminals have already …

In this paper, we propose a novel approach for face spoofing detection using a combination
of color texture descriptors with a new convolutional neural network (CNN) architecture. The …