ORB-PCA Based Feature Extraction Technique for Face Recognition

Face Recognition is one of the most prevalent fields in the domain of Computer Vision and the problems pertaining to it are very challenging. The potency of FR systems in biometric authentication systems is slowed down by their processing speed constraints, which substantially limits their computational capabilities and furthermore, the prevalent SURF and SIFT feature descriptors are computationally complex and demand very high level hardware requirements for processing. Off late, ORB, a cost effective feature descriptor, has been effective for such systems. Hence, in this paper, we propose a novel technique that utilizes ORB, and in turn, incorporate PCA as a post-processing step to reduce the dimensionality of the descriptors and hence improve ORB's authentication performance over the widespread methods such as SIFT-PCA and SURF-PCA.