%0 Journal Article
%T Enhancement of the Face Recognition Using a Modified Fourier-Gabor Filter
%A Essam Al Daoud
%J International Journal of Advances in Soft Computing and Its Applications
%D 2009
%I International Center for Scientific Research and Studies
%X A modified Fourier-Gabor filter is used to enhance the classificationrate of the face recognition. To verify the effectiveness of the proposedmethod, five well known methods are applied to four datasets; themethods are implemented without and with the suggested filter. Thedatasets consist of varying lighting conditions, different facialexpressions, configuration, orientations and emotions. The experimentsshow that using the suggested Fourier-Gabor filter enhances theclassification rates for all methods, all datasets and all training/testingpercentage. The highest classification rates are obtained by usingFourier-Gabor filter with batch linear discriminant analysis (FGBatch-ILDA), where the average classification rate over the fourdatasets is 93.8, the next is 93.77 by using Fourier-Gabor filter withlinear discriminant analysis (FG-LDA) and 90.85 by using Fourier-Gabor filter with support vector machine (FG-SVM).
%K Fourier Transform
%K Gabor Filter
%K Face Recognition
%K Linear
%K Discriminant Analysis
%K Principal Component Analysis
%K Support Vector Machine
%U http://www.i-csrs.org/Volumes/ijasca/vol.1/vol.1.2.4.November.09.pdf