We review more than 200 applications of neural networks in image processing and discuss
the present and possible future role of neural networks, especially feed-forward neural …

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 …

Pattern recognition has long been studied in relation to many different (and mainly
unrelated) applications, such as remote sensing, computer vision, space research, and …

In this paper, a new technique coined two-dimensional principal component analysis
(2DPCA) is developed for image representation. As opposed to PCA, 2DPCA is based on …

This book provides an introduction to statistical pattern recognition theory and techniques.
Most of the material presented in this book is concerned with discrimination and …

A dynamic interactive theory of person construal is proposed. It assumes that the perception
of other people is accomplished by a dynamical system involving continuous interaction …

We set ourselves the task of recognizing persons from single images by reference to a
gallery, which also contained only one image per person. Our problem was to address …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

In this paper we present a comprehensive and critical survey of face detection algorithms.
Face detection is a necessary first-step in face recognition systems, with the purpose of …

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 …