A Comprehensive Survey of Face Recognition Advancements

Face recognition technology has experienced significant advancements in recent years due to the rapid progress in deep learning techniques. The purpose of this comprehensive literature review is to examine the various applications and underlying methodologies of face recognition. With recent advancements in face recognition techniques, a wider range of scenarios and challenges can be addressed. In this survey, we explore the latest developments in face recognition, including pitch variations, lighting changes, occlusions, and varied environments. The survey provides a comprehensive review of face recognition technology, covering applications, methodologies, dataset usage, model accuracy, and workings. Additionally, it analyzes three main approaches to face recognition for static images: traditional (or classical), deep learning-based, and hybrid. Hence, providing an overview of and comparing some of the popular face recognition approaches and techniques is the main objective of this paper.