Comparative Study on Face Recognition using HGPP, PCA, LDA, ICA and SVM
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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

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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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/search_index_results_paperid.php?id=IJSR13010165, Volume 2 Issue 1, January 2013, 139 - 141

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