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Joint Encoding of Multi-scale LBP for Infrared Face Recognition

  • Conference paper
Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 329))

Abstract

Due to low resolutions of infrared face image, the local feature extraction is more appreciated for infrared face feature extraction. In the current LBP (local binary pattern) feature extraction on infrared face recognition, single scale is encoded, which consider limited local discriminative information. A new infrared face recognition method based on joint encoding of multi-scale LBP (JEMLBP) is proposed in this paper. To consider correlation in different micro-structures, co-occurrence matrix of multi-scale LBP codes is used to represent the infrared face. The experimental results show the recognition rates of infrared face recognition method based on JEMLBP can reach 91.2% under variable ambient temperatures, outperforms that of the classic method based on single scale LBP histogram.

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Author information

Authors and Affiliations

  1. Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, China

    Zhihua Xie & Zhengzi Wang

Authors
  1. Zhihua Xie
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  2. Zhengzi Wang
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Corresponding author

Correspondence to Zhihua Xie .

Editor information

Editors and Affiliations

  1. HIGH-TECH Industry Development Zone, Nanchang Institute of Technology, Jiangxi Province, China

    Hui Sun

  2. Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Magong City, Taiwan

    Chin-Yu Yang

  3. Innovative Information Industry Research Center, Shenzhen University Harbin Institute of Technology, Shenzhen, China

    Chun-Wei Lin

  4. Harbin Institute of Technology Innovative Info. Industry Res. Center, Shenzhen University, Shenzhen, China

    Jeng-Shyang Pan

  5. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  6. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

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© 2015 Springer International Publishing Switzerland

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Xie, Z., Wang, Z. (2015). Joint Encoding of Multi-scale LBP for Infrared Face Recognition. In: Sun, H., Yang, CY., Lin, CW., Pan, JS., Snasel, V., Abraham, A. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-319-12286-1_27

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  • DOI: https://doi.org/10.1007/978-3-319-12286-1_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12285-4

  • Online ISBN: 978-3-319-12286-1

  • eBook Packages: EngineeringEngineering (R0)

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