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Please use this identifier to cite or link to this item: https://repository.uksw.edu/handle/123456789/232
Title: Face Recognition for Group Classification Based on Kernel Principal Component Analysis and Support Vector Machines
Authors: Timotius, Ivanna K.
Setyawan, Iwan
Febrianto, Andreas Ardian
Keywords: face recognition;group classification;kernel principal component analysis;support vector machines
Issue Date: 28-Sep-2010
Publisher: Department of Informatics, Faculty of Information Technology, Institut Teknologi Sepuluh Nopember Surabaya
Abstract: Face 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 classification by combining kernel principal component analysis (KPCA) and support vector machines (SVM). By using these methods, the classification accuracy of the system is 91.84%
Description: The 6th International Conference on Information & Communication Technology and Systems (ICTS) 2010, Surabaya, September 28th, 2010
URI: http://repository.uksw.edu/handle/123456789/232
ISSN: 2085-1944
Appears in Collections:Published Research Reports

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