Perbandingan Kinerja Support Vector Machine (SVM) Dalam Mengenali Wajah Menggunakan SURF DAN GLCM
Face recognition is one part of the biometrics research. Face recognition is widely used in identification and recognition process. Speed-up Robust Feature (SURF) is one of feature extraction method used in face recognition system. This research aims to compare face recognition performance between S...
Main Authors: | Syamsul Bahri, Khairun Saddami, Fitri Arnia, Kahlil Muchtar |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Andalas
2019-06-01
|
Series: | Jurnal Nasional Teknik Elektro |
Online Access: | http://jnte.ft.unand.ac.id/index.php/jnte/article/view/620 |
Similar Items
-
DCNet: Noise-Robust Convolutional Neural Networks for Degradation Classification on Ancient Documents
by: Fitri Arnia, et al.
Published: (2021-07-01) -
Comparative Study of Herbal Leaves Classification using Hybrid of GLCM-SVM and GLCM-CNN
by: Purnawansyah Purnawansyah, et al.
Published: (2023-08-01) -
Klasifikasi Citra Mammogram Menggunakan Metode K-Means, GLCM, dan Support Vector Machine (SVM)
by: Kadek Novar Setiawan, et al.
Published: (2018-07-01) -
Substraksi Latar Menggunakan Nilai Mean Untuk Klasifikasi Kendaraan Bergerak Berbasis Deep Learning
by: Ilal Mahdi, et al.
Published: (2022-07-01) -
Effective and fast binarization method for combined degradation on ancient documents
by: Khairun Saddami, et al.
Published: (2019-10-01)