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 …

Linear discriminant analysis (LDA) is an important feature extraction method. This paper
proposes an improved linear discriminant analysis method, which redefines the within-class …

Extracting the most discriminant low-dimensional face feature is an extremely critical step in
Face Recognition (FR) systems. Linear Discriminant Analysis (LDA) is one of the most …

Linear discriminant analysis (LDA) is a typical feature extraction method, but there exist at
least two critical drawbacks in LDA: the small sample size problem and the rank limitation …

Feature extraction is one of the hot topics in face recognition. However, many face extraction
methods will suffer from the “small sample size” problem, such as Linear Discriminant …

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 …

Feature extraction is a key technology of face recognition, and it can directly affect the
performance of the face recognition system. Among them, linear discriminant analysis (LDA) …

Abstract Linear Discriminant Analysis (LDA) technique is an important and well-developed
area of image recognition and to date many linear discrimination methods have been put …

This paper introduces an improved-LDA (I-LDA) approach to face recognition, which can
effectively deal with the two problems encountered in LDA-based face recognition …

Face recognition is an important issue in image analysis and understanding. Linear
discriminant analysis (LDA) has been widely used in face recognition. However, the LDA …