We present a range of image processing tecimiques as potential pre-processing steps,
which attempt to improve the performance of the eigenface method of face recognition …

This paper is an experimental study on the robustness of the eigenfaces method for face
recognition. To build a face recognition system, especially in an unconstrained surveillance …

A face image can be represented by a point in a feature space such as spanned by a
number of eigenfaces. In methods based on nearest neighbor classification, the …

We describe a method for face recognition based on the eigenimage technique that allows
images to be represented by a limited set of parameters and be compared according to …

Develops an approach to face recognition using eigenfaces, focusing on the effects of the
eigenface used to represent a human face under several environment conditions. The …

We study the performance of a new eigenface-based method for face recognition.
Specifically, we perform DCT preprocessing followed by the PCA-LDA combination. We …

Different eigenspace-based approaches have been proposed for the recognition of faces.
They differ mostly in the kind of projection method used and in the similarity matching …

In this paper we depict an experiment to the face recognition problem by combining
eigenfaces and neural network. Eigenfaces are applied to extract the relevant information in …

This paper proposes a novel pattern classification approach, called the nearest linear
combination (NLC) approach, for eigenface based face recognition. Assume that multiple …

Face recognition is one of the most active research areas in computer vision and pattern
recognition with practical applications. This work proposes an appearance based eigenface …