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Chinese Conference on Image and Graphics Technologies

IGTA 2015: Advances in Image and Graphics Technologies pp 28–36Cite as

Infrared Face Recognition Based on Adaptive Dominant Pattern of Local Binary Pattern

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 525))

Abstract

Infrared face recognition, being light- independent, and not vulnerable to facial skin, expressions and posture, can avoid or limit the drawbacks of face recognition in visible light. Local binary pattern (LBP), as a classic local feature descriptor, is appreciated for infrared face feature representation. To extract compact and principle information from LBP features, infrared face recognition based on LBP adaptive dominant pattern is proposed in this paper. Firstly, LBP operator is applied to infrared face for texture information. Based on the statistical distribution, the variable dominant pattern is attained for different infrared faces. Finally, dissimilarity metrics between the adaptive dominant pattern features is defined for final recognition. The experimental results show the adaptive dominant patterns in infrared face image have a lower feature dimensionality, and the proposed infrared face recognition method outperforms the traditional methods based on LBP uniform and discriminant 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, China

    Zhihua Xie

Authors
  1. Zhihua Xie
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Correspondence to Zhihua Xie .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences Instute of Automation, Beijing, China

    Tieniu Tan

  2. Beijing Jiaotong University, Beijing, China

    Qiuqi Ruan

  3. Tsinghua University, Beijing, China

    Shengjin Wang

  4. Tsinghua University, Beijing, China

    Huimin Ma

  5. Chinese Academy of Sciences, Beijing, China

    Kaichang Di

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© 2015 Springer-Verlag Berlin Heidelberg

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Xie, Z. (2015). Infrared Face Recognition Based on Adaptive Dominant Pattern of Local Binary Pattern. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_4

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  • DOI: https://doi.org/10.1007/978-3-662-47791-5_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47790-8

  • Online ISBN: 978-3-662-47791-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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