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 …

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 …

Histograms of Local Binary Patterns (LBPs) and variations thereof are a popular local visual
descriptor for face recognition. So far, most variations of LBP are designed by hand or are …

Recently, local texture patterns based methods have been widely used in face recognition.
LBP and LTP are two typical feature descriptor methods. LBP chooses the central pixel as …

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 is renowned as most powerful texture descriptor. But major issue which LBP possesses
is the noisy thresholding function. This sacrifices the discriminativity of the descriptor. To …

Local binary pattern (LBP) has recently been proposed for texture analysis and local feature
description and has also been applied to face recognition with promising results. However …

Local binary pattern (LBP) has proved to be an efficient local image descriptor used in
computer vision. LBP operator has successfully been applied in many biometrics …

The local binary pattern approach, a texture descriptor method proposed by Ojala et al., has
gained increased acceptance due to its computational simplicity and more importantly for …

This paper presents a simple, novel, yet highly effective approach for robust face
recognition. Given LBP-like descriptors based on local accumulated pixel differences …