FACE RECOGNITION UNDER VARIATION IN ILLUMINATION USING HYBRID OF PCA AND DCP

Abstract

Biometric traits have been widely used for various aspects in digital transaction and for security purposes. Uniqueness of biometric traits makes them to be useful under different applications. Face is a biometric trait that has larger uniqueness from other individuals as compare to other biometric traits. Face can be widely used for surveillance, criminal detection and recognition. In this paper a hybrid approach has been proposed that has been used for face recognition process so that better accuracy can be achieved. This approach has been simulated under different facial representations that are variation is resolution, poses and illuminations. Proposed approach provides better face recognition accuracy under low resolution face images resulting in a more effective approach that can be widely used for criminal recognition that are caught under CCTV footage.