The face almost always has an axis-symmetrical structure. However, as the face usually
does not have an absolutely frontal pose when it is imaged, the majority of face images are …

Recognizing traffic signs is a challenging problem; and it has captured the attention of the
computer vision community for several decades. Essentially, traffic sign recognition is a multi …

An efficient hierarchical scheme, which is robust to illumination and pose variations in face
images, is proposed for accurate facial-feature detection and localization. In our algorithm …

This paper proposes the Bayesian approach to signal detection in compressed sensing (CS)
using compressed measurements directly. A general expression of the probability of error is …

In this paper we propose a novel method combining graph embedding and difference
criterion techniques for image feature extraction, namely two-dimensional maximum …

A hand-shape based biometric identification system which is independent of the image
spectrum range is proposed here. Two different spectrum ranges; visible and mid-range …

For single sample face recognition, there are limited training samples, so the traditional face
recognition methods are not applicable to this problem. In this paper we propose to combine …

The sparse representation classification (SRC) method proposed by Wright et al. is
considered as the breakthrough of face recognition because of its good performance …

This study evaluates the performance of global and local feature extractors as well as
dimension reduction methods in NIR domain. Zernike moments (ZMs), Independent …

In this paper, a novel classifier based on two-phase test sample sparse representation
(TPTSSR) classifier and coarse k nearest neighbor (C-kNN) classifier, called novel …