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Face Description with Local Binary Patterns: Application to Face Recognition

IEEE Transactions on Pattern Analysis and Machine IntelligencePublished 30 October 2006
T. Ahonen, Abdenour Hadid, Matti Pietikäinen
Citations5,606
SJR quartileQ1
SJR score3.91
SNIP5.99

TL;DR

This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features that is assessed in the face recognition problem under different challenges.

Abstract

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 LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed.

Keywords

Computer Science