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.contributor.authorOmidiora, E. O.-
dc.contributor.authorFakolujo, O. A.-
dc.contributor.authorAyeni, R. O.-
dc.contributor.authorAjila, T. M.-
dc.date.accessioned2018-10-12T07:58:34Z-
dc.date.available2018-10-12T07:58:34Z-
dc.date.issued2007-
dc.identifier.issn1596-3233-
dc.identifier.otherJournal of Applied Science, Engineering and Technology 7(1), pp. 57-65-
dc.identifier.otherui_art_omidiora_survey_2007-
dc.identifier.urihttp://ir.library.ui.edu.ng/handle/123456789/2150-
dc.description.abstractA 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.isoen_USen_US
dc.publisherFaculty of Technology, University of Ibadanen_US
dc.subjectFace recognition,en_US
dc.subjectMultilayer Perceptromen_US
dc.subjectstatistical approachesen_US
dc.titleA survey of face recognition techniquesen_US
dc.typeArticleen_US
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