Handling Illumination Variation: A Challenge for Face Recognition

  • Purvi A. KoringaEmail author
  • Suman K. Mitra
  • Vijayan K. Asari
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)


Though impressive recognition rates have been achieved with various techniques under the controlled face image capturing environment, making recognition more reliable under uncontrolled environment is still a great challenge. Security and surveillance images, captured in open uncontrolled environments, are likely subjected to extreme lighting conditions like underexposed, and overexposed areas that reduce the amount of useful details available in the collected face images. This paper explores two different preprocessing methods and compares the effect of enhancement in recognition results using Orthogonal Neighbourhood preserving Projection (ONPP) and Modified ONPP (MONPP), which are subspace based methods. Note that subspace based face recognition techniques are highly sought after in recent times. Experimental results on preprocessing techniques followed by face recognition using ONPP and MONPP are presented.


Illumination variation Dimensionality reduction Face recognition 



The author acknowledges Board of Research in Nuclear Science, BARC, India for the financial support to carry out this research work.


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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  • Purvi A. Koringa
    • 1
    Email author
  • Suman K. Mitra
    • 1
  • Vijayan K. Asari
    • 2
  1. 1.DA-IICTGandhinagarIndia
  2. 2.University of DaytonDaytonUSA

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