Face Recognition for Group Classification Based on Kernel Principal Componrnt Analysis and Support Vector Machines

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DC Field	Value	Language
dc.contributor.author	Timotius, Ivanna K.
dc.contributor.author	Setyawan, Iwan
dc.contributor.author	Febrianto, Andreas A.
dc.date.accessioned	2013-07-15T07:45:26Z
dc.date.available	2013-07-15T07:45:26Z
dc.date.issued	2010-09-28
dc.identifier.issn	2085-1944
dc.identifier.uri	http://repository.uksw.edu/handle/123456789/2980
dc.description	Proceeding of the 6th International Conference on Information & Communication Technology and Systems : VI 53-56	en_US
dc.description.abstract	Faee Recognition system is a machine that is used to recognize people based on their face. In many practical applications, this face recognition system is used to determine whether somebody belongs to certain group or not. This paper presents a face recognition method for group classiication by combining kernel principal component analysis (KPC*A) and support vector machines (SVM). By using these methods, the classification accuracy of the system is 91.84%.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Department of Informations Faculty of Information Technology ITS Surabaya	en_US
dc.subject	face recognition	en_US
dc.subject	group classification	en_US
dc.subject	Kenel Principal Component Analysis	en_US
dc.subject	support vector machines	en_US
dc.title	Face Recognition for Group Classification Based on Kernel Principal Componrnt Analysis and Support Vector Machines	en_US
dc.type	Proceeding	en_US
Appears in Collections:	Published Research Reports

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PROS_Ivanna K.T., Iwan S., Andreas A.F._Face Recognition_Abstract.pdf	Abstract	1.07 MB	Adobe PDF	View/Open
PROS_Ivanna K.T., Iwan S., Andreas A.F._Face Recognition_Full text.pdf	Full text	414.31 kB	Adobe PDF	View/Open