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Chinese Conference on Biometric Recognition

CCBR 2018: Biometric Recognition pp 294–301Cite as

Local Directional Amplitude Feature for Illumination Normalization with Application to Face Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10996))

Abstract

Face recognition under variant illumination conditions has been one of the major research topics in the development of face recognition systems. In this paper we analyze the strength and the weakness of different types of approaches, and design an illumination robust feature by combining the directional and amplitude information as an optimal solution to the problem. We first extract and process the direction and amplitude information of the pixel changes, and then fuse them into a comprehensive feature. We conducted our experiments on CMU-PIE database and Extended Yale B database, and all the results have shown the effectiveness of our approach.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grant 61673402, Grant 61273270, and Grant 60802069, in part by the Natural Science Foundation of Guangdong under Grant 2017A030311029, Grant 2016B010109002, Grant 2015B090912001, Grant 2016B010123005, and Grant 2017B090909005, in part by the Science and Technology Program of Guangzhou under Grant 201704020180 and Grant 201604020024, and in part by the Fundamental Research Funds for the Central Universities of China.

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Authors and Affiliations

  1. School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China

    Chitung Yip, Haifeng Hu & Zhihong Chen

Authors
  1. Chitung Yip
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  2. Haifeng Hu
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  3. Zhihong Chen
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Corresponding author

Correspondence to Haifeng Hu .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jie Zhou

  2. Beihang University, Beijing, China

    Yunhong Wang

  3. Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Xinjiang University, Urumqi, China

    Zhenhong Jia

  5. Tsinghua University, Beijing, China

    Jianjiang Feng

  6. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  7. Xinjiang University, Urumqi, China

    Kurban Ubul

  8. Tsinghua University, Shenzhen, China

    Zhenhua Guo

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Cite this paper

Yip, C., Hu, H., Chen, Z. (2018). Local Directional Amplitude Feature for Illumination Normalization with Application to Face Recognition. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_32

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  • DOI: https://doi.org/10.1007/978-3-319-97909-0_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97908-3

  • Online ISBN: 978-3-319-97909-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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