In this paper, we propose a new feature extraction method—parameterized direct linear
discriminant analysis (PD-LDA) for small sample size problems. Similar to direct LDA (D …

Appearance-based methods, especially linear discriminant analysis (LDA), have been very
successful in facial feature extraction, but the recognition performance of LDA is often …

This paper introduces a direct-weighted LDA (DW-LDA) approach to face recognition, which
can effectively deal with the two problems encountered in LDA-based face recognition …

A new LDA-based face recognition system is presented in this paper. Linear discriminant
analysis (LDA) is one of the most popular linear projection techniques for feature extraction …

The complete linear discriminant analysis (CLDA) algorithm has been successfully
employed for face recognition. The CLDA method can make full use of the discriminant …

The complete linear discriminant analysis (CLDA) algorithm has been proven to be an
effective tool for face recognition. The CLDA method can make full use of the discriminant …

In this paper, a novel algorithm for feature extraction—two-dimensional direct and weighted
linear discriminant analysis (2D-DWLDA)—is proposed. The improvement of 2D-DWLDA …

Linear discriminant analysis (LDA) is one of the most popular techniques for extracting
features in face recognition. LDA captures the global geometric structure. However, local …

Linear discriminant analysis (LDA)-based methods have been very successful in face
recognition, yet little investigation has been done on the fusion of different LDA methods …

Linear discriminant analysis (LDA) is a feature extraction technique for classification. In this
paper, we propose a new LDA-based method that can overcome the drawback existed in …