Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Dzakki Muhammad Hanif
Program Studi Teknik Elektro Universitas Kristen Maranatha
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Kernel Jamak pada Program Berbasis PCA untuk Pengenalan Wajah dengan Variasi Iluminasi Riko Saragih; Tio Dewantho Sunoto; Judea Janoto Jarden; Dzakki Muhammad Hanif
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 7 No 2 (2020): Jurnal Ecotipe, Oktober 2020
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v7i2.1902

Abstract

The application of kernel functions can solve the problem of non-linear image data so that the data can be linearly separable with a hyperplane by mapping the input space to the feature space to increase its dimensions. This article will discuss the improvement in recognition accuracy obtained by implementing multiple kernels in a PCA based program using linear, polynomial, and gaussian kernels for facial recognition with illumination variations. The matching or recognition process is carried out using the SVM method. Improvements obtained from the application of multiple kernels will be compared with the implementation of a single kernel and see how much improvement of the accuracy. Based on the results of the implementation of multiple kernels, the average improvement in accuracy obtained from the face recognition results with illumination variations is 10.5% compared to a single kernel.
Co-Authors Judea Janoto Jarden Riko Saragih Tio Dewantho Sunoto