EXTRACTION APPLICATION OF FACE FEATURE / COMPONENT

Face recognition system has come to a wide area drawing attention for researchers since a long period. In this time face recognition system has a number of areas, like forensic, psychology, and security. Algorithm which used in face recognition is quite a lot and varies, but altogether have three elementary phases, that are face detection, face features extraction, and face recognition. Face detection phase determines and dissociates the part of an image (still image) which definitioned as a face. Face feature extraction phase can detect face features as information. Face recognition phase identifies human face based on information got from the face feature extraction phase. Face feature extraction is important phase. This phase will look for information which is special characteristic of human face. The characteristic in general will always remain to every adult human and different each other, so that can be made as the basis for face identity. Algorithm used to detect face features comes from algorithm found [1][2] had been adapted for the experiment situation. From 70 samples face image, the level efficacy of feature face equals to 88,6 %