Post-processing on LDA's Discriminant Vectors for Facial Feature Extraction

摘要

Linear discriminant analysis (LDA) based methods have been very successful in face recognition. Recently, pre-processing approaches have been used to further improve recognition performance but few investigations have been made into the use of post-processing techniques. This paper intends to explore the feasibility and efficiency of the post-processing technique on LDA's discriminant vectors. In this paper we propose a Gaussian filtering approach to post-process the discriminant vectors. The results of our experiments demonstrate that, post-processing technique can be used to improve recognition performance.