One of the grand challenges for computational intelligence is to understand how people process and recognize faces and to develop automated face recognition systems, one of the major biometric technologies today. Solving the face recognition problem will have a major scientific impact, as recognizing people is the first, and a critical step, towards building intelligent machines that can function in human environments. Reliable Face Recognition Systems is a state-of-the-art survey text that examines the evolution of face-recognition systems as they drive for superior reliability and describes methods being considered and tested for enhancing system design and implementation. Providing the required background and motivation, the book explores new directions in the field and offers specific guidance on the most promising venues for future R&D, as well as realistic performance evaluation. With its well-focused approach and clarity of presentation, this new text/reference is an excellent resource for computer scientists, computer engineers, and other professionals and researchers who need to learn about face recognition.
In addition, it is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction.