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dc.contributor.authorTimotius, Ivanna K.
dc.contributor.authorSetyawan, Iwan
dc.contributor.authorFebrianto, Andreas A.
dc.descriptionProceeding of the 6th International Conference on Information & Communication Technology and Systems : VI 53-56en_US
dc.description.abstractFaee 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.publisherDepartment of Informations Faculty of Information Technology ITS Surabayaen_US
dc.subjectface recognitionen_US
dc.subjectgroup classificationen_US
dc.subjectKenel Principal Component Analysisen_US
dc.subjectsupport vector machinesen_US
dc.titleFace Recognition for Group Classification Based on Kernel Principal Componrnt Analysis and Support Vector Machinesen_US
Appears in Collections:Published Research Reports

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