Face Recognition using LBP-LCP Coefficient Vectors with SVM Classifier

Face recognition applications are continuously gaining demands because of their requirements in person authentication, access control and surveillance systems. The researchers are continuously working for making the system more accurate and faster. As a part of that research this paper presents an in depth analysis of face recognition system based on Local Binary Pattern(LBP), Local Configuration Pattern (LCP)features with Support Vector Machine (SVM)as classifier. Finally the both techniques with their three variants named uniform, rotation invariant and uniform, rotation invariant are implemented and comprehensively analyzed for their efficiency we also compared these feature extraction method with their variants.