One of the major challenges encountered by current face recognition techniques lies in the
difficulties of handling varying poses, ie, recognition of faces in arbitrary in-depth rotations …

In this correspondence, we propose a novel method to extract illumination insensitive
features for face recognition under varying lighting called the Gradientfaces. Theoretical …

Facial structure of face image under lighting lies in multiscale space. In order to detect and
eliminate illumination effect, a wavelet-based face recognition method is proposed in this …

With this paper we offer a game-theoretic perspective for the all-pervasive matching problem
in computer vision. Specifically, we formulate the matching problem as a (population) non …

During the past several years, face recognition in video has received significant attention.
Not only the wide range of commercial and law enforcement applications, but also the …

In this paper, some morphological transformations are used to detect the background in
images characterized by poor lighting. Lately, contrast image enhancement has been …

The challenges in biometrics research activities have expanded recently to include the
maintenance of security and privacy of biometric templates beside the traditional work to …

Privacy and security are vital concerns for practical biometric systems. The concept of
cancelable or revocable biometrics has been proposed as a solution for biometric template …

In this paper the problem of face recognition under variable illumination conditions is
considered. Most of the works in the literature exhibit good performance under strictly …

Automatic face recognition has been extensively studied over the past decades in various
domains (eg, 2D, 3D, and video) resulting in a dramatic improvement. However, face …