Personal Identification Based On Combinatory Features Of Profile And Outer Ear Contour

With the development of computer technology, people attach importance to the information security. In order to meet demands of information age, biometrics appears. At present, biometrics consists of face recognition, fingerprint recognition, iris recognition, ear recognition etc. Due to easy getting, nicety acceptance and great practicability, face recognition is attached great importance. However, face recognition is restricted because of the change of age, appearance, makeup and beard. Compared to face image, ear image can't be affected by change of appearance, makeup and keep the advantage of easy getting, thus combining ear recognition and face recognition can be no disturbance recognition. According to the special construct and position of ear, this paper proposes a personal identification based on the combinatory features of profile and outer ear contour, which can be the remarkable enhancement of the face recognition performance.The method based on combinatory features of profile and outer ear contour extracts the features of profile and outer ear contour firstly, and then, combines them each other. First, take out background and yawp of images. Then, the profile of side face image is extracted by edge tracking. According to the curvature of profile, three feature points whose vertical distance and horizontal distance are taken as feature are extracted. After that, utilize an ear localization algorithm based on edge tracking to extract the outer ear contour. Combine the height and the width of the outer ear contour with the profile feature. Finally, make eigenvector classification with clustering method based on close threshold and minimum distance.Utilize the method in the side face gallery. The experiment result shows that this method is feasible and can assistant face recognition effectively. At the same time, the outer ear contour and ear image extracted can be used to extract the other features further.