New Approaches to Characterization and Recognition of Faces

"The human face plays an important role in our social interaction, conveying peoples identity. Using the human face as a key to security, biometric face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications in both law enforcement and non-law enforcement. As compared with other biometrics systems using fingerprint/palmprint and iris, face recognition has distinct advantages because of its non-contact process. Facial recognition (or face recognition) is a type of biometric software application that can identify a specific individual in a digital image by analyzing and comparing patterns. Facial recognition systems are commonly used for security purposes but are increasingly being used in a variety of other applications. The Kinect motion gaming system, for example, uses facial recognition to differentiate among players. Most current facial recognition systems work with numeric codes called faceprints. Such systems identify 80 nodal points on a human face. New Approaches to Characterization and Recognition of Faces is arranged around a number of clustered themes covering different aspects of face recognition. This book explores subspace methods for dimensionality reduction in face image processing, statistical methods applied to face detection, and intelligent face detection methods dominated by the use of artificial neural networks. This text should be of immense valuable tool for post graduate students, researchers and professors as well as for those employed in this field. "