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 …

Abstract Local Binary Pattern (LBP) is a simple yet very efficient texture operator which
labels the pixels of an image by thresholding the neighborhood of each pixel with the value …

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 …

The local binary pattern approach has evolved to represent a significant breakthrough in
texture analysis, outperforming earlier methods in many applications. Perhaps the most …

The recent emergence of Local Binary Patterns (LBP) has led to significant progress in
applying texture methods to various computer vision problems and applications. The focus …

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 …

The Local Binary Pattern (LBP) operator is a computationally efficient yet powerful feature for
analyzing local texture structures. While the LBP operator has been successfully applied to …

Abstract Local Binary Pattern (LBP) has achieved great success in texture classification due
to its accuracy and efficiency. Traditional LBP method encodes local features by binarying …

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 …

Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the
pixels of an image by thresholding the neighborhood of each pixel and considers the result …