A Real-Time Face Recognition Approach from Video Sequence using Skin Color Model and Eigenface Method

We present a robust approach for real time face recognition from video sequences. An automatic face detector is employed which uses skin color modeling to detect human face in the video sequence. The presence or absence of face in each region is verified by means of height-width proportion and an eye detector: based on efficient template matching scheme. The obtained face images are then projected onto a feature space, defined by eigenfaces, to produce the biometric template. Recognition is performed by projecting a new image onto the feature spaces spanned by the eigenfaces and then classifying the face by comparing its position in the feature spaces with the positions of known individuals. The proposed system can be used in security purposes and in any visual communication system, such as teleconferencing, human computer interaction etc