Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Face recognition is a rapidly growing research area due to increasing demands for security
in commercial and law enforcement applications. This paper provides an up-to-date review …

Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …

A number of current face recognition algorithms use face representations found by
unsupervised statistical methods. Typically these methods find a set of basis images and …

This paper compares principal component analysis (PCA) and independent component
analysis (ICA) in the context of a baseline face recognition system, a comparison motivated …

Algorithms based on principal component analysis (PCA) form the basis of numerous
studies in the psychological and algorithmic face-recognition literature. PCA is a statistical …

Face recognition is one of the most successful applications of image analysis and
understanding and has gained much attention in recent years. Various algorithms were …

This paper introduces a new face coding and recognition method, the enhanced Fisher
classifier (EFC), which employs the enhanced Fisher linear discriminant model (EFM) on …

如何描述每个个体人脸的特征, 使之区别于其他个体, 是人脸识别研究中的关键问题之一.
近年来提出了大量的方法, 其中随着主元分析在人脸识别中的成功应用之后 …

Introduces evolutionary pursuit (EP) as an adaptive representation method for image
encoding and classification. In analogy to projection pursuit, EP seeks to learn an optimal …