Abstract
Face recognition is one of the most hot and challengeable technologies, which is based on biometrics, and also one of the most potential technologies. As the most natural and friendly identification method, automatic face recognition has become the important part of the next generation computing technology. 3D face recognition methods are able to overcome the problems resulting from illumination, expression or pose variations in 2D face recognition. Facial feature mainly concentrate on the eyes, nose and mouth, therefore, this paper mainly detects the characteristics of the three regions in the human face, then calculate the geometric characteristics of human face based on these characteristics point, including the straight-line Euclidean distance, curvature distance, area, angle and volume. The main contributions of the work is that the curve distance of two key feature points is added into the feature vector, which consists of Euclidean distance, curve distance, angle and volume. Experiment results show that the algorithm can recognize faces effectively.