Face recognition demonstrates the significant progress in the research field of biometric and
computer vision. The fact is due to the current systems perform well under relatively control …

Motivated by researching new image texture modeling that improves state-of-the-art LBP
variants and non-LBP descriptors, this paper proposes a novel approach for constructing …

This paper presents new modeling of local binary patterns for texture representation.
Referred to as local binary gradient contours (LBGC), the proposed models are expected to …

Pattern recognition and computer vision fields experienced the proposal of several
architectures and approaches to deal with the demands of real world applications including …

Local feature descriptors (LFDs) have been researched and developed for decades, and
their applications are still being examined nowadays. In addition, the fact that LFDs are …

Classifying and modeling texture images, especially those with significant rotation,
illumination, scale, and view-point variations, is a hot topic in the computer vision field …

In this paper, we propose a simple and robust local descriptor operator, called the extended
local graph structure (ELGS). The original local graph structure (LGS) performs very well in …

Face recognition becomes an important task performed routinely in our daily lives. This
application is encouraged by the wide availability of powerful and low-cost desktop and …

In this study, a novel chess based local image descriptor is presented for textural image
recognition. The proposed descriptor is inspired by chess game and the main objective of it …

Face spoofing attack is one of the recent security problems that face recognition systems are
proven to be vulnerable to. The spoofing occurs when an attacker bypass the authentication …