IJERT-EMS
IJERT-EMS

Implementation Distance Transform Method in Kernel Discriminant Analysis for Face Recognition Using Kohonen SOM


Implementation Distance Transform Method in Kernel Discriminant Analysis for Face Recognition Using Kohonen SOM
Authors : Bayu Angga Wijaya, Amir Mahmud Husein, Mawaddah Harahap, Muhammad Khairuddin Harahap
Publication Date: 10-10-2017

Authors

Author(s):  Bayu Angga Wijaya, Amir Mahmud Husein, Mawaddah Harahap, Muhammad Khairuddin Harahap

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 10 , October - 2017

e-ISSN:   2278-0181

Abstract

Face recognition is one of the areas of research are quite popular because it can be used for various fields such as security, passport, access control, etc. face recognition is a process of identification with the image so it can be recognized. There are several techniques used for face recognition, in this study we discussed the combination method of Distance Transform on a Kernel Discriminant Analysis Method to extraction, and the recognition using Kohonen SOM. A combination of these methods we apply with two approaches, the first approach is a combination of KDA-DT-Kohonen, the second is KDA-Kohonen and tested on two datasets: CALTECH and Computer Vision (CE1). The second dataset is used to describe the effect of rotation of the face and background. Extraction of KDA without DT is more accurate as the Kohonen SOM network parameters for recognizing the face at CALTECH dataset.

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