To achieve its impressive performance in tasks such as speech perception or object
recognition, the brain extracts multiple levels of representation from the sensory input …

Government agencies are investing a considerable amount of resources into improving
security systems as result of recent terrorist events that dangerously exposed flaws and …

Recently, principal components analysis (PCA) and independent components analysis (ICA)
was introduced for doing feature extraction. PCA and ICA linearly transform the original input …

A novel and uniform framework for both face identification and verification is presented in
this paper. The framework is based on a combination of Gabor wavelets and General …

In contrast to holistic methods, local matching methods extract facial features from different
levels of locality and quantify them precisely. To determine how they can be best used for …

A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA)
of multi-scale local binary pattern histograms is proposed for face recognition. The face …

We consider the problem of locality preserving projections (LPP) in two-dimensional sense.
Recently, LPP was proposed for dimensionality reduction, which can detect the intrinsic …

This paper is concerned with an enhanced independent component analysis (ICA) and its
application to face recognition. Typically, face representations obtained by ICA involve …

The partial occlusion is one of the key issues in the face recognition community. To resolve
the problem of partial occlusion, based on our previous work of local Gabor binary patterns …

With the growing number of face recognition applications in everyday life, image-and video-
based recognition methods are becoming important research topic (Zhao et al., 2003) …