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Infrared Face Recognition Based on ODP of Local Binary Patterns

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Biometric Recognition (CCBR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9428))

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Abstract

Local binary pattern (LBP) is an effective local feature descriptor for infrared face representation. To extract discriminative subset in LBP patterns, infrared face recognition based on optimized discriminative patterns (ODP) is proposed in this paper. Firstly, LBP operator is applied to infrared face for the extraction of texture information. Secondly, based on the two-class discriminative ability, for each subject, we adaptively select the optimized discriminative patterns from LBP features. Then, dissimilarity metrics base on chi-square distance is computed for each two-classifier. Finally, the final recognition algorithm is built on all two-classifiers using voting mechanism. The experimental results show the ODP can extract compact and discriminative features for infrared face feature extraction, which outperform the existing LBP uniform and discriminative patterns.

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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 Province, China

    Zhihua Xie & Ying Xiong

Authors
  1. Zhihua Xie
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  2. Ying Xiong
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Corresponding author

Correspondence to Zhihua Xie .

Editor information

Editors and Affiliations

  1. Civil Aviation University of China, Tianjin, China

    Jinfeng Yang

  2. and Technology, Tianjin Institute of Science, Tianjin, China

    Jucheng Yang

  3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  5. Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  6. Tsinghua University, Beijing, China

    Jianjiang Feng

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Xie, Z., Xiong, Y. (2015). Infrared Face Recognition Based on ODP of Local Binary Patterns. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-25417-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25416-6

  • Online ISBN: 978-3-319-25417-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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