Face Recognition Using Hyper Sausage Neuron Networks

DOI

10.2991/aisr.k.200424.074How to use a DOI?

Keywords

face recognition, Hyper Sausage Neuron Networks, Histogram Equalization, Linear Discriminant Analysis

Abstract

Biometric authentication systems are generally utilized in different manners. One of the most generally utilized biometric systems is the face. The face is one path for every person to know one another and has their very own attributes or is extraordinary to every individual. The face recognition system is divided into three phase’s, namely pre-processing, feature extraction, and recognition. This paper combines Linear Discriminant Analysis (LDA) for feature extraction and Hyper Sausage Neuron Networks (HSNN) for the face recognition system. LDA is used to overcome the resistant to changing image conditions, and HSNN can overcome high false acceptance problems on Traditional Pattern Recognition (TPR). The research used the face94 database with LDA-HSSN could enhance the accuracy of face recognition from the previous methods such as SVM with RBF kernel and KNN respectively 2.03% and 35.54%.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaffan MADANNY
AU  - SAMSURYADI
AU  - Novi YUSLIANI
PY  - 2020
DA  - 2020/05/06
TI  - Face Recognition Using Hyper Sausage Neuron Networks
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 480
EP  - 484
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.074
DO  - 10.2991/aisr.k.200424.074
ID  - MADANNY2020
ER  -