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A Novel Illumination Normalization Method for Face Recognition

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Advances in Biometric Person Authentication (IWBRS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3781))

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Abstract

The problem of illumination makes the face recognition still an unsolved problem. A new normalization method was presented which is illumination invariant in face recognition. The histogram equalization was applied to improve the performances of the AT (Affine Transform) algorithm. A novel illumination normalization method was introduced. Using the information of the distribution of the histogram, the method makes the combination of the AT algorithm and the ICR (Illumination Compensation based on Multiple Regression Model) algorithm smoothly. Experiments reveals that our proposed algorithm is illumination invariant and achieves better preprocess result while the recognition rate has been evidently improved.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China, 510640

    Yucong Guo, Xingming Zhang, Huangyuan Zhan & Jing Song

Authors
  1. Yucong Guo
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  2. Xingming Zhang
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  3. Huangyuan Zhan
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  4. Jing Song
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

    Stan Z. Li

  2. National Laboratory of Pattern Recognition, Institute of Automation, CAS,  

    Zhenan Sun

  3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  4. Exploratory Computer Vision Group, IBM T.J. Watson Research Center, 10598, Yorktown Heights, NY

    Sharath Pankanti

  5. CNRS LTCI/TSI Paris, 46 rue Barrault, 75634, Paris Cedex 13, France

    Gérard Chollet

  6. Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    David Zhang

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© 2005 Springer-Verlag Berlin Heidelberg

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Guo, Y., Zhang, X., Zhan, H., Song, J. (2005). A Novel Illumination Normalization Method for Face Recognition. In: Li, S.Z., Sun, Z., Tan, T., Pankanti, S., Chollet, G., Zhang, D. (eds) Advances in Biometric Person Authentication. IWBRS 2005. Lecture Notes in Computer Science, vol 3781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569947_4

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  • DOI: https://doi.org/10.1007/11569947_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29431-3

  • Online ISBN: 978-3-540-32248-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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