Face recognition is most important knowledge whom many researchers are working on. The
challenges with the existing approaches can allude to upscale input data from 48× 48 to 64× …

Face Recognition aims at identifying or confirming an individual's identity in a still image or
video. Towards this end, machine learning and deep learning techniques have been …

Smart monitoring and surveillance systems have become one of the fundamental areas in
the context of security applications in Smart Cities. In particular, video surveillance for …

In recent years, the intelligence of different parts of the home has become one of the
essential features of any modern home. One of these parts is the intelligence lighting system …

In today's cyber environment, threats such as data breaches, cyberattacks, and unauthorized
access threaten national security, critical infrastructure, and financial stability. This research …

Literature has it that the performance of most face recognition algorithms still decline in
multiple constrained environments (Occlusions and Expressions), despite the achieved …

In this paper, an efficient approach is proposed for face recognition (FR) under pose and
illumination variations. It is based on combining likelihood-based sufficient dimension …

Face recognition occluded by occlusions, such as glasses or shadows, remains a challenge
in many security and surveillance applications. This study aims to analyze the performance …

Face recognition is playing an increasingly important role in present society, and suffers
from the privacy leakage in plaintext. Therefore, a recognition system based on …

Face authentication is a widely used technique for verifying identity, but current approaches
encounter limitations due to their reliance on extensive computing resources, large datasets …