Jurnal Ilmiah Sinus
Vol 13, No 1 (2015): Maret 2015

UNJUK KERJA METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DENGAN LEARNING VECTOR QUANTIZATION (LVQ) PADA APLIKASI PENGENALAN WAJAH

Yustina Retno Wahyu Utami, Teguh Susyanto (Unknown)

Article Info

Publish Date
10 Mar 2015

Abstract

Face recognition techniques and classification methods have been proposed, but not many techniques that compare performance between methods. This research wants to analyze the performance of recognition. The method which are studied and compared are support vector machine and learning vector quantization. The result showed that the performance of the method, on the varied training number, LVQ method is better than SVM. In large number of classes, LVQ method is better than SVW.Keywords: classification, face recognition, LVQ, SVM

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Journal Info
Jurnal Ilmiah Sinus
Website

Abbrev

e-jurnal_SINUS

Publisher

STMIK Sinar Nusantara Surakarta

Subject

Computer Science & IT

Description

Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information ...