Face recognition is a popular technique in identifying human features. In certain application
such as recognizing criminals from video surveillance, where no other physical trait is …

Face recognition is one of the most important tasks in computer vision and Biometrics.
Texture is an important spatial feature useful for identifying objects or regions of interest in …

Face recognition is an emergent research area, spanning over multiple disciplines such as
image processing, computer vision and signal processing. Moreover, face recognition is …

Face recognition is one of the important and popular visual recognition problem due to its
challenging nature and its diverse set of applications. That's why face recognition is attracted …

Texture is the surface property that is used to identify and recognise objects. This property is
widely used in many applications including texture-based face recognition systems …

Face recognition is one of the most important tasks in computer vision and biometrics where
many algorithms have been developed. The Local Binary Pattern (LBP) has been proved to …

In recent years, the binary coding of face image features, such as local binary patterns (LBP)
and local ternary patterns (LTP) have become popular in face recognition systems. These …

Texture is one of the fundamental features for describing image characteristics. Face can be
seen as a composition of micro-patterns of textures. The texture analysis community has …

LBP coefficients are essential and determine the priority of gray differences. The objectives
of this paper are to reveal this and propose a method for finding an optimal priority through …

Amounts of data under varying intrinsic features are empirically thought of as high
dimensional nonlinear manifold in the observation space. Locality preserving projections …