Face recognition using eigenface approach
2012 ◽
Vol 9
(1)
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pp. 121-130
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Keyword(s):
In this article, a face recognition system using the Principal Component Analysis (PCA) algorithm was implemented. The algorithm is based on an eigenfaces approach which represents a PCA method in which a small set of significant features are used to describe the variation between face images. Experimental results for different numbers of eigenfaces are shown to verify the viability of the proposed method.
2017 ◽
Vol 2017
◽
pp. 1-9
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2014 ◽
Vol 3
(12)
◽
pp. 769-773
2017 ◽
Vol 14
(1)
◽
pp. 829-834
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Keyword(s):
2021 ◽
Vol 22
(3)
◽
pp. 1404
2013 ◽
Vol 10
(8)
◽
pp. 1943-1953
2014 ◽
Vol 03
(13)
◽
pp. 6-10
◽
2008 ◽
pp. 396-405
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