Face direction estimation based on eigenspace technique

In this paper, we propose a method for identification of persons using feature points which are taken from different angle and estimating of face direction using eigenspace technique. The face images are extracted on image sequences which are captured by a camera using image processing techniques. The face directions are estimated based on the eigenspace technique. Furthermore, the locations of face feature points are determined using a separability filter. Finally, the human faces are identified using the statistical features. The feature points for face identification are six points which are obtained the length of eyes, nostrils and angle of mouth. The experiments are performed on real time video image. The satisfactory results are shown along with discussions.