Biometric Authentication: A Machine Learning Approach

7.6. Biometric Authentication Application Examples

In Lin et al. [211], the DBNN was applied to all three modules of face recognition systems: (1) face detector, (2) eye localizer, and (3) face recognizer. The face detector finds the location of a human face in an image, then the eye localizer determines the positions of both eyes in order to generate meaningful feature vectors. The facial region proposed contains eyebrows, eyes (eyeglasses allowed), and nose. The face recognition system was successfully applied to two public databases (FERET and ORL) and one in-house (SCR) database. Chapter 8 further describes how to apply the probabilistic DBNN to various face detection and recognition applications. In addition to automated face recognition, ...