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

During the late 20th century, the rise of computers and technology led to collaborations
between mathematicians and computer scientists to develop systems that could solve …

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 …

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 …

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

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 …

This review paper scrutinizes various methodologies in face detection, encompassing
traditional and incremental learning approaches. Addressing pivotal research questions, it …

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

This research aims to develop artificial intelligence (AI) algorithms in the context of facial
recognition with a focus on increasing accuracy in difficult environmental conditions …