Technique to Hybridize Principle Component and Independent Component Algorithms using Score Based Fusion Process

1Department of Computer Science & Applications, Kurukshetra University, Kurukshetra 2Assistant professor, Department of Computer & Application, Kurukshetra University, Kurukshetra 3Assistant professor, Computer Science,GCW, Karnal -----------------------------------------------------------------------***-------------------------------------------------------------------Abstract – The performance gains presented by these new descriptors have led to significant growth in applying texture methods to a large variety of computer vision problems. In this paper, a hybrid face recognition approach has been used. Hybrid approach has a unique significance in Face Recognition Systems. They join different face detection techniques to achieve a better result as compared to single method. This paper presents hybridization between two face recognition techniques i.e. principle component analysis and independent component analysis. A score based approach has been used as a combiner process to hybrid these face recognition techniques. The experimented results show that the hybrid system has higher score value than face recognition systems using single method.