Handling Illumination Variation: A Challenge for Face Recognition
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.
KeywordsIllumination 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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