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Novel Texture Descriptor Family for Face Recognition

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Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11509))

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Abstract

This paper presents a novel image descriptor family. The shaped local binary patterns are an extension of the popular local binary patterns (LBPs). It takes into consideration larger neighbourhoods of the central pixel. The main novelty is that this descriptor allows using varying shapes of the neighbourhood instead of just one point. This property ensures better robustness and gives the opportunity to fine-tune the descriptor for a given task. We evaluate the descriptor on the face recognition task in the frame of an application for recognition of real-world face images. The results on two standard face corpora show improved performance over the basic LBP method.

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Notes

  1. 1.

    We used \(S-LBP_{8,5,6}\) configuration.

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Acknowledgment

This work has been partly supported by the project LO1506 of the Czech Ministry of Education, Youth and Sports.

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Correspondence to Ladislav Lenc .

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Král, P., Lenc, L. (2019). Novel Texture Descriptor Family for Face Recognition. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-20915-5_4

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  • Print ISBN: 978-3-030-20914-8

  • Online ISBN: 978-3-030-20915-5

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