A survey of face recognition techniques

Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/2150

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DC Field	Value	Language
dc.contributor.author	Omidiora, E. O.	-
dc.contributor.author	Fakolujo, O. A.	-
dc.contributor.author	Ayeni, R. O.	-
dc.contributor.author	Ajila, T. M.	-
dc.date.accessioned	2018-10-12T07:58:34Z	-
dc.date.available	2018-10-12T07:58:34Z	-
dc.date.issued	2007	-
dc.identifier.issn	1596-3233	-
dc.identifier.other	Journal of Applied Science, Engineering and Technology 7(1), pp. 57-65	-
dc.identifier.other	ui_art_omidiora_survey_2007	-
dc.identifier.uri	http://ir.library.ui.edu.ng/handle/123456789/2150	-
dc.description.abstract	A review of face recognition techniques has been carried out.Face recongition has been an attractive field in the society of both biological and computer vision of research. It exhibits the characteristics of being natural and low-intrusive. In this paper, an updated survey of techniques for face recognition is made. Methods of face regonition , such as geometric, statistical and neural networks approaches are presented and analyzed. The comparative performance of the variaous approaches is discussed.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Faculty of Technology, University of Ibadan	en_US
dc.subject	Face recognition,	en_US
dc.subject	Multilayer Perceptrom	en_US
dc.subject	statistical approaches	en_US
dc.title	A survey of face recognition techniques	en_US
dc.type	Article	en_US
Appears in Collections:	scholarly works

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