FACE RECOGNITION FOR GROUP CLASSIFICATION BASED ON
KERNEL PRINCIPAL COMPONENT ANALYSIS AND SUPPORT
VECTOR MACHINES
Ivanna
.
Timotius', Iwan Setyaan\
r�� A Frno1
Departmnt of Elctronic Enginering, Faculty of
Elcric
nd Computr Engineering Satya Wacana Christian University· Diponegoro
52
-
60
Salatiga 50711, ndonesiaemail: ivanna _ timotius@yaho.com 1, iwan.setawan@iee.org1, anreas@visio-lab.org 1
ABSTRACT
Face Recognition system is a machine that is used to recognize people based on their face.
n
many practical applications,
his
face recognitionsstem is used to determine whether somedy
elongs to cetan roup or not. This papr presents a face recognition mehd for roup classiication by combinng knel prncipal component nalysis (PCA) nd suppot vctor machins (SVM). By using hese mehods, the classification accuracy of he system is 91.4%.
Keywords: Face recognition, Group Classiiation, Kenel Prncipal Component nalsis, Support Vector Machines.