Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …

Computer vision systems open a new challenge to recognize human faces under varied
poses in similar capacity and capability as human-beings perform naturally. For surveillance …

A bstract This paper proposes a two-layer Convolutional Neural Network (CNN) to learn the
high-level features which utilizes to the face identification via sparse representation. Feature …

Given that facial features contain a wide range of identification information and cannot be
completely represented by a single feature, the fusion of multiple features is particularly …

The COVID-19 pandemic has been scattering speedily around the world since 2019. Due to
this pandemic, human life is becoming increasingly involutes and complex. Many people …

Face recognition has attracted increasing attention due to its wide range of applications, but
it is still challenging when facing large variations in the biometric data characteristics …

In order to overcome the effects of posture, illumination, expression and other factors on face
recognition, this paper proposes an algorithm which is based on local binary pattern (LBP) …

Facial recognition is a wide area of a computer vision which is mostly used for security
purpose. The main motive of the face recognition system is to authentic a person from a …

Facial expressions are one of the most powerful ways to depict specific patterns in human
behavior and describe the human emotional state. However, despite the impressive …

Face recognition (FR) is getting a lot of attention for a good reason in the field of research
and making a big impact in areas such as computer vision and human-computer interaction …