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 …

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 …

Local detail features of face are important bases for recognizing different persons. For its
invariant to monotonic gray-scale transformations and it's a non-parametric kernel which …

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 …

This paper presents a novel algorithm for face recognition based on a single image and a
new LBP (Local Binary Pattern) descriptor. The algorithm can be divided into three steps …

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 …

This paper presents a novel and efficient facial image representation based on local binary
pattern (LBP) texture features. The face image is divided into several regions from which the …

Recently, we proposed a novel facial representation for face recognition based on the local
binary pattern (LBP) features. We obtained excellent results when dividing the face images …

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 …

In this paper, we introduce a novel face representation method for face recognition, called
Local Line Binary Pattern (LLBP), which is motivated from Local Binary Pattern (LBP) due to …