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Local Directional Multi Radius Binary Pattern

Novel Descriptor for Face Recognition Application

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Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017) (SoCPaR 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 737))

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Abstract

Face recognition becomes an important task performed routinely in our daily lives. This application is encouraged by the wide availability of powerful and low-cost desktop and embedded computing systems, while the need comes from the integration in too much real world systems including biometric authentication, surveillance, human-computer interaction, and multimedia management. This article proposes a new variant of LBP descriptor referred as Local Directional Multi Radius Binary Pattern (LDMRBP) as a robust and effective face descriptor. The proposed LDMRBP operator is built using new neighborhood topology and new pattern encoding scheme. The adopted face recognition system consists of three stages: (1) face detection and alignment to normalize the input images to a common form if needed; (2) feature extraction using the proposed descriptor in order to calculate the histogram, which represents the feature vector and (3) face recognition through a supervised image classification task using the simple K-Nearest Neighbors classifier. Simulated experiments on ORL, YALE and FERET under different illumination or facial expression conditions indicate that the proposed method outperforms other texture descriptors and other existing works of the literature.

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Author information

Authors and Affiliations

  1. Laboratoire LASTID, Département de Physique, Faculté des Sciences, Université Ibn Tofail, Kénitra, Morocco

    Mohamed Kas, Youssef El Merabet & Rochdi Messoussi

  2. Le2i, UMR 6306, CNRS Université de Bourgogne Franche-Comté, UTBM, 90010, Belfort, France

    Yassine Ruichek

Authors
  1. Mohamed Kas
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  2. Youssef El Merabet
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  3. Yassine Ruichek
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  4. Rochdi Messoussi
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Corresponding author

Correspondence to Mohamed Kas .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Kas, M., El Merabet, Y., Ruichek, Y., Messoussi, R. (2018). Local Directional Multi Radius Binary Pattern. In: Abraham, A., Haqiq, A., Muda, A., Gandhi, N. (eds) Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017). SoCPaR 2017. Advances in Intelligent Systems and Computing, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-76357-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-76357-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76356-9

  • Online ISBN: 978-3-319-76357-6

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