Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Deep neural network (DNN) architecture based models have high expressive power and
learning capacity. However, they are essentially a black box method since it is not easy to …

Although face recognition systems have wide application, they are vulnerable to
presentation attack samples (fake samples). Therefore, a presentation attack detection …

Three discriminative representations for face presentation attack detection are introduced in
this paper. Firstly we design a descriptor called spatial pyramid coding micro-texture (SPMT) …

In recent years, the pandemic situation has forced the education system to shift from
traditional teaching to online teaching or blended learning. The ability to monitor remote …

The convolution neural network (CNN) has achieved state-of-the-art performance in many
computer vision applications eg, classification, recognition, detection, etc. However, the …

The growing use of control access systems based on face recognition shed light over the
need for even more accurate systems to detect face spoofing attacks. In this paper, an …

Biometrics has been increasingly used as the well-known technology for the identification
and verification of a person. Among the different biometric traits, the face has been …

Biometric recognition is an extensive and energizing field of research but spoofing attacks,"
a deceiver pretense as an authorized user by reproducing the biometrics of the original …

Face anti-spoofing has been attracting attention because of its prominent role in the security
of face recognition systems. A face spoofing attack is launched on the authentication system …