Biometric Authentication: A Machine Learning Approach

8.7. Concluding Remarks

Face detection and eye localization are two very crucial preprocessing steps in the automatic face recognition system. The system needs the face detection module to find human face patterns from arbitrary scenes and the eye localizer to pinpoint the location of human eyes to normalize the detected face pattern. This chapter provided a case study of the automatic face recognition system, whose core technology is a modular neural network—the PDBNN. The configuration of the PDBNN face recognition system contains a face detector, eye localizer, and face recognizer. The system can be made automatic and requires no human operator. The processing speed (from the user appearing in front of the camera to the system permitting access) ...