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New face recognition method based on local binary pattern histogram

Abstract : Face recognition is one of the most important tasks in computer vision and biometrics where many algorithms have been developed. The Local Binary Pattern (LBP) has been proved to be effective for facial image representation and analysis, but it is too local to be robust. In this paper, we present an improved method for face recognition named Elongated Multi-Block Local Ternary Pattern (EMBLTP), which is based on Local Binary Pattern (LBP).The proposed method is tested on Yale face database and compared with different variants of LBP. Experimental results show that, the classification rate of the proposed method is appreciable
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https://hal-uphf.archives-ouvertes.fr/hal-03663760
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Tuesday, May 10, 2022 - 1:49:35 PM
Last modification on : Wednesday, May 11, 2022 - 3:48:00 AM

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Cherif Taouche, Mohamed Batouche, Mohamed Chemachema, Abdelmalik Taleb-Ahmed, Mohamed Berkane. New face recognition method based on local binary pattern histogram. 2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Dec 2014, Hammamet, Tunisia. pp.508-513, ⟨10.1109/STA.2014.7086724⟩. ⟨hal-03663760⟩

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