Face recognition has become an attractive field in computer based application development
in the last few decades. That is because of the wide range of areas they used in. And …

This paper aims to develop a machine learning and deep learning‐based real‐time
framework for detecting and recognizing human faces in closed‐circuit television (CCTV) …

Face recognition have gained a great deal of popularity because of the wide range of
applications such as in entertainment, smart cards, information security, law enforcement …

Face recognition has gained a significant position among most commonly used applications
of image processing furthermore availability of viable technologies in this field have …

This paper presents a simple and fast recognition system with various facial expressions,
poses, and rotation. The proposed system performed in two phases. Face detection is the …

Energy theft constitutes an issue of great importance for electricity operators. The attempt to
detect and reduce non-technical losses is a challenging task due to insufficient inspection …

The face plays an essential role in identifying people and showing their emotions in society.
The human ability to recognize faces is remarkable. But face recognition is a fundamental …

Abstract Autism Spectrum Disorder (ASD) is a developmental condition resulting from
abnormalities in brain structure and function, which can manifest as communication and …

Face identification plays one of the most important roles in biometrics to recognize a person.
However, face identification is very difficult because of variations in size, orientations …

From literature, majority of face recognition modules suffer performance challenges when
presented with test images acquired under multiple constrained environments (occlusion …