International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 115 | Views: 175

Survey Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013


Comparative Study on Face Recognition using HGPP, PCA, LDA, ICA and SVM

Hardik Kadiya [2]


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


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