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Illumination Invariant Face Recognition

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Intelligent Computing Theory (ICIC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8588))

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Abstract

Variation in facial image due to illumination plays an important role on the performance of any face recognition system. This type of variation may occur because of the difference in the orientation of the light source and the intensity of illumination. This paper proposes an efficient framework which can handle such type of variations in face recognition process. It uses features from Peri-ocular, nose and mouth regions from the facial image. It has been tested on two publically available databases and has been found that the proposed system could handle the problem of variations in facial images due to variations in illumination in a robust manner.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Ankit Sharma & Phalguni Gupta

  2. Department of Computer Science & Engineering, Harcourt Butler Technological Institute, Kanpur, 208002, India

    Vandana Dixit Kaushik

Authors
  1. Ankit Sharma
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  2. Vandana Dixit Kaushik
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  3. Phalguni Gupta
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Politecnico of Bari, Via Orabona, 4,, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, 2522, North Wollongon, NSW, Australia

    Prashan Premaratne

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© 2014 Springer International Publishing Switzerland

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Sharma, A., Kaushik, V.D., Gupta, P. (2014). Illumination Invariant Face Recognition. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_34

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  • DOI: https://doi.org/10.1007/978-3-319-09333-8_34

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09332-1

  • Online ISBN: 978-3-319-09333-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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