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A Novel Method of Gradient-Based Illumination Invariant Face Recognition
Authors: - IJCTKong Rui , Cheng Lin ,Jie Yingda
Number of views: 277
The effect of illumination variation is one of challenging problems in a face recognition system,
which can dramatically reduce the performance of face recognition. In order to solve this problem, this
paper proposed a novel method for face recognition. First of all, illumination insensitive representation of
image is extracted, which is based on the ratio of gradient amplitude to the original image intensity in the
domain. Then, combined with the analysis of NS-LDA algorithm for feature extraction, and finally
classified with the nearest distance classifier. Compared with the existed representative approaches, such
as LBP (Local Binary Pattern, LBP), WF(Weber-face, WF),GF (Gradientfaces,GF) ,this method has better
recognition rate on CAS-PEAL, Yalefaces, Extended Yale B face database