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    A Survey on Human Face Recognition Invariant to Illuminationā€,

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    ABSTRACT Human face recognition is one of the research areas in the current era of the research. It is one the widely used biometric technique for identification and verification of the human face. There are many challenges to face recognition which degrade the performance of the algorithm. The illumination variation problem is one of the well-known problems in face recognition in uncontrolled environment. In this paper an extensive and up-to-date survey of the existing techniques to address this problem is presented. Different authors have given so many techniques for illumination reduction from the face image but still some combined survey is missing so we have tried to fill that gaps in this paper. We have collected various preprocessing techniques suggested by different authors and shown their results in a tabular form. After preprocessing we can use any of the recognition method for face recognition. There are so many online face databases available so we can use any of them
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