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

Dr. Hardik Kadiya

Volume 12 Issue 15

Global Journal of Computer Science and Technology

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.