Face Recognition using Radial Basis Neural Network
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: 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
Authors and Affiliations
Vijayata Jindal
Keywords
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- EP ID EP143196
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