Literature Review of Face Recognition for Degraded Images

Face recognition technology is a biometric method used to identify or verify individuals by their facial characteristics. It is widely used in commercial and law enforcement applications, such as surveillance systems, passport verification, security systems, and human-machine interaction. However, face recognition challenges such as noise, image deterioration, corruption, and external elements.  To improve face recognition accuracy in noisy environments, noise reduction techniques, and robust representation learning methods are needed. This study attempts to clarify on Active Appearance Models, Viola-Jones, and Convolutional Neural Networks algorithms which have been used in literature studies, as well, provide the issues by organizing the abundance of articles and information in this field to highlight current research trends, and provides an outline of their advantages and disadvantages.