Face Recognition using Radial Basis Neural Network
Iosr Journals, Vijayata Jindal · Figshare · 2015
In this paper, we propose four techniques for extraction of facial features namely PCA, LDA, KPCA and KFA. The purpose of face feature extraction is to capture certain discriminative features that are unique for a person. In the previous works that uses PCA for face feature extraction involves merging the features and reducing the dimensions that results in some information loss. To overcome this problem, in the first method we used PCA for face feature extraction, LDA for making class labels and NN with RBF for face recognition. Similarly we used the three more techniques namely LDA, KPCA and KFA for face feature extraction and then NN with RBF for face recognition. The proposed method is tested on the ORL database Keywords: 2DPCA, LDA, KPCA, FFNN and KFA.