Face recognition using extracted points on the face

Various models have been developed for face recognition and feature extraction. The most practical methods include: using geometric characteristics that measure the position and relative state and shapes of various characteristics. In this situation, many models have been proposed that use global face representation, including all face features are automatically extracted from an input face image. Of course, it gives us many ways to recognize identity in image processing; but in this paper we found a simple algorithm to match two faces of people without being in contact with the person. Delaunay triangulation for modeling background and other objects given as sets of points provides a good set of triangles that can be used as polygons in the model