Design of a Model of the Occluded-face Recognition System

Abstract

Face recognition is able to capture and recorded face images from long distant. Face recognition techniques can be applied. Sometimes, partial of face may occluded by beard, hat, sunglasses, other person or objects. These are some of the problems which affected to the accuracy of face recognition system. Occluded of face is a non-systematic variable factor which affected to face image and can not be improved of results. Face recognition process starts with the face detection then the process of face recognition. Face recognition by using of global features and local feature be improved its efficiency. So these methods then applied to the proposed study. If appropriate of features selection and fusion of the results form various methods. Then the result is more accurate. From the studied concepts, conducts to the design of a prototype models with improvement of efficiency and resolve the weak points of these studied methods.