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

In this paper, we propose a novel feature representation based on color-based Local Binary
Pattern (LBP) texture analysis for face recognition (FR). The proposed method exploits both …

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 …

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

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 …

The local binary pattern (LBP) operator is defined as a gray-scale invariant texture measure,
derived from a general definition of texture in a local neighborhood. Due to its discriminative …

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 …

This paper is about providing efficient face recognition ie feature extraction and face
matching system using local binary patterns (LBP) method. It is a texture based algorithm for …

Feature extraction is critical to the success of a face recognition system. Local Binary
Patterns (LBP), with its different extensions, is one of the most popular texture descriptors …