Features & Benefits

Face recognition is the most prominent biometric technique for identity authentication and is widely used in applications, such as access control, time attendance, finance, law enforcement, and public security. It is a long-standing research, with over 50 years of research and developments. Advances in deep learning and neural networks have significantly reshaped the landscape of face recognition research and applications in almost all aspects since the first two editions of this Handbook.

This third edition, while inheriting the title of Handbook of Face Recognition, will be composed of entirely new contents describing the latest face recognition methodologies and technologies in the deep neural network framework. The book presents a unified resource of theory, algorithms and implementations to bring students, researchers and practitioners to all aspects of face recognition.