Face Identification Using LBP&LDA Methods

Abstract

In this paper, we have evaluated the possibility of using database for the task of driver identification in near-ir videos using face recognition techniques. Two texture-based methods are presented to solve this task. The first method utilizes local binary patterns (lbp) combined with local discriminant analysis (lda) to identify subjects while the second method investigates bruteforce template matching for identification purposes. The lbp-method is fast while the template matching method proved to be very time-consuming. Future refinements and extensions are proposed for both methods.