3D- Face recognition using Multi-Scale and Multi-Component LNP with w-SRC

Abstract For a number of different security and industrial applications and work, there is the need for reliable person identification methods. In this paper, we propose a robust method for human 3-D face recognition based on Multi-Scale and Multi- Component Local Normal Patterns (MSMC-LNP) based Facial Descriptor and w-SRC for the score matching and act as a classifier. We tested a combination of different linear classifiers To evaluate the recognition performance based on MSMC-LNP we compared our classification results to results obtained using the MSMC-LNP technique and LNP technique both and the complete analysis is done on Bosphorous 3D face Dataset where in we achieve the 97.4% recognition rate.