Survey Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013
Comparative Study on Face Recognition using HGPP, PCA, LDA, ICA and SVM
Abstract: In this paper performance of five face recognition algorithms i. e. HGPP, PCA, LDA, ICA and SVM is compared. 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.
Keywords: Face Recognition, PCA, LDA, ICA, HGPP, SVM
Edition: Volume 2 Issue 1, January 2013,
Pages: 139 - 141
How to Cite this Article?
Hardik Kadiya, "Comparative Study on Face Recognition using HGPP, PCA, LDA, ICA and SVM", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=IJSR13010165, Volume 2 Issue 1, January 2013, 139 - 141, #ijsrnet
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