Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition

Abstract

Recently, a class of post-processing approaches has been proposed to improve the recognition performance of LDA in face recognition. In-depth analysis, however, has not been presented to reveal the effectiveness of the post-processing approach. In this paper, we investigate the rationale of the post-processing approach, and demonstrate the interrelationship of the post-processing approach and the image Euclidean distance method (IMED). We then use the FERET face and the PolyU palmprint databases to evaluate the post-processed LDA method. Experimental results indicate the effectiveness of the post-processing approach and reveal its relation to IMED.