Downloads: 115 | Views: 259
Survey Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013 | Popularity: 6.2 / 10
Comparative Study on Face Recognition using HGPP, PCA, LDA, ICA and SVM
Hardik Kadiya
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
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
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Megha Kamboj
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Computer Science & Engineering, India, Volume 7 Issue 11, November 2018
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Computer Science & Engineering, India, Volume 9 Issue 12, December 2020
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Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
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