Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

The global epidemic of COVID-19 makes people realize that wearing a mask is one of the
most effective ways to protect ourselves from virus infections, which poses serious …

The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Purpose Artificial intelligence (AI) applications pose a potential threat to users' data security
and privacy due to their high data-dependence nature. This paper aims to investigate an …

The introduction of publicly available large-scale datasets and advances in generative
adversarial networks (GANs) have revolutionized the generation of hyper-realistic facial …

Face Recognition is the process of identifying and verifying the faces. Face recognition has
vast importance in the field of Security, Healthcare, Banking, Criminal Identification …

With the hyperspectral sensor technology evolving and becoming more cost-effective,
hyperspectral imaging offers new opportunities for robust face recognition. Hyperspectral …