THE IMPACT ON THE FACE RECOGNITION FROM DISTANCES IN FUZZY LINEAR DISCRIMINANT ANALYSIS
Liya Fan · Journal of Jinggangshan University · 2012
A fuzzy linear discriminant analysis method based on QR decomposition for face recognition problems is proposed.By means of experiments with ORL,Yale and FERET face databases,we study the affection of different distances in linear discriminant analysis method based on QR decomposition for face recognition rate.Furthermore,we also study the affection of different K-values in KNN classifier for face recognition rate.The experimental results show that the selection of distances has a significant impact for the results of the face recognition rate.For different face database,the K value of KNN classifier selection will also affect the recognition rate.For ORL face image data,in the Minkowski distance(m=3),K=1 have the best classification results.For YALE face data,in the Chebyshey distance,K=5 have the best classification results.For the FERET face data,in the absolute distance,K=1 have the best classification results.