Face Recognition: A Literature Review

Face recognition is a crucial and rapidly evolving field within com­puter vision and artificial intelligence. The human face is one important el­ement for recognizing a person in a group. The mechanism used by the hu­man brain for face recognition is not yet fully understood, making it a com­plex problem. Over the past decade, there have been significant advance­ments in both the accuracy and applicability of face recognition systems. Deep learning techniques, particularly convolutional neural networks (CNNs), have played a pivotal role in achieving state-of-the-art performance in face recognition tasks. This paper proposes a review of research on face recogni­tion techniques, algorithms and existing applications, with their advantages and disadvantages. It also includes a comparison of the results obtained with various algorithms and the related limitations. In the last part, it presents fu­ture directions of development in the field of face recognition.