Face description with local binary patterns: application to face recognition
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Updated: Jul 18, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
Published on: December 24, 2015
Timo Ahonen1, Abdenour Hadid, Matti Pietikäinen
1Machine Vision Group, Department of Electrical Information Engineering, University of Oulu, Finland. tahonen@ee.oulu.fi
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.
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