Accent Social and Welfare Society
Face recognition now a day's is one of the most popular biometric technologies because of its ease of use and simplicity. Face recognition using depth map is an emerging field, which is trying to use 2D features along with the depth information of the face for accurate identification of the subject. In this paper, a 3D face recognition system is proposed where depth information of the face is captured by calculating the deviations in the scan pattern because of the non-planarity of the face. By using this information a depth map is generated and 3D features are extracted from it by implementing Fourier descriptor algorithm.