Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …

The advances in human face recognition (FR) systems have recorded sublime success for
automatic and secured authentication in diverse domains. Although the traditional methods …

Presentation attacks are becoming a serious threat to one of the most common biometric
applications, namely face recognition (FR). In recent years, numerous methods have been …

Face authentication usually utilizes deep learning models to verify users with high accuracy.
However, it is vulnerable to various attacks that cheat the models by manipulating the digital …

For autonomous vehicles, face-based authentication is one of the best ways to identify or
verify a user. Deep learning methods, such as Deep Convolutional Neural Networks …

Face super-resolution (SR) algorithms have recently made significant progress. However,
most existing methods prefer to employ texture and structure information together to promote …

The proliferation of automated face recognition (FR) necessitates increasingly accurate
person identification. The COVID-19 pandemic has exposed the limitations of FR systems …

In face antispoofing, it is desirable to have multimodal images to demonstrate liveness cues
from various perspectives. However, in most face recognition scenarios, only a single …

Physical Virtual Sports (PVS) utilize digital technologies for the analysis and evaluation of
sports performances. This research article addresses the challenge of detecting video …

Presentation attacks pose a threat to the reliability of face recognition systems. A
photograph, a video, or a mask representing an authorised user can be used to circumvent …