Comparitive Study on Face Recognition Using HGPP, PCA, LDA, ICA and SVM

Abstract

We are comparing the performance of five algorithms of the face recognition i e HGPP PCA LDA ICA and SVM The basis of the comparison is the rate of accuracy of face recognition These algorithms are employed on the ATT database and IFD database We find that HGPP has the highest rate of accuracy of recognition when it is applied on the ATT database whereas LDA outperforms the all other algorithms when it is applied to IFD database