In biometrics, face recognition methods are achieving momentum with recent progress in the
computer vision (CV). Face recognition is widely used in the identification of an individual's …

With the growing deployment of face recognition system in recent years, face anti-spoofing
has become increasingly important, due to the increasing number of spoofing attacks via …

In past few decades, the development of the biometric identification techniques, such as
fingerprint, iris, finger vein, and so on, has become quite mature and related applications …

Given the face spoofing attack, adequate protection of human identity through face has
become a significant challenge globally. Face spoofing is an act of presenting a recaptured …

In this paper, we propose the face anti-spoofing method based on combination of luminance
and chrominance with convolutional neural networks. The proposed method extracts …

Face anti-spoofing is an important topic of face recognition system to protect against security
breach. Previous approach for face spoofing detection based on distortion in images have …

Despite significant attention given to face spoofing, there is still a need for more
generalizable face anti-spoofing methods that would perform robustly in practical face …

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

Since the human face preserves the richest information for recognizing individuals, face
recognition has been widely investigated and achieved great success in various …

The face recognition system is vulnerable to spoofing attacks by photos or videos of a valid
user face. However, edge degradation and texture blurring occur when non-living face …