Assessment of an access control system using principal component analysis and discrete cosine transform.

Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/1637

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DC Field	Value	Language
dc.contributor.author	Omidiora, E. O.\|\|\|\|Olabiyisi, S. O.	-
dc.contributor.author	Fakolujo, O. A.	-
dc.contributor.author	Olabiyisi, S. O.	-
dc.date.accessioned	2018-10-09T14:12:22Z	-
dc.date.available	2018-10-09T14:12:22Z	-
dc.date.issued	2008-08	-
dc.identifier.other	ui_inpro_omidiora_assessment_2008	-
dc.identifier.uri	http://ir.library.ui.edu.ng/handle/123456789/1637	-
dc.description	In proceeding	en_US
dc.description.abstract	In this paper, faces were employed as the only control means of right of entrance and usage of information on the super-highway. Principal Component Analysis (PCA) and Discrete Cosine Transform (DCT) algorithms were employed as our basis of comparison. An assessment of both algorithms was considered, it was discovered that PCA proved to be a better algorithm for access control and recognition system because of its very high average percentage of rightly classified faces (90.43%) and its strict attendance to both FAR and FRR (0.1077, 0.0609) than DCT with 64.57% and: 0.24 and 0.02 respectively.	en_US
dc.language.iso	en_US	en_US
dc.title	Assessment of an access control system using principal component analysis and discrete cosine transform.	en_US
dc.type	Other	en_US
Appears in Collections:	scholarly works

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