International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 115

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

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


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

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Face Recognition'

Downloads: 106

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 9, September 2015

Pages: 1502 - 1506

An Effective Technique for Matching Facial Composite to Mugshots using Face Sketch System

Vinayak P P [2] | Nahala M A [2]

Share this Article

Downloads: 107

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 8, August 2015

Pages: 1212 - 1215

A Novel Hybrid Face Recognition Algorithm Based On Neural Network with Fuzzy Sets

Raunil Singh | Kiran Gupta [3]

Share this Article


Top