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A Neural Network based Facial Expression Recognition using Fisherface

by Zaenal Abidin, Agus Harjoko
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 3
Year of Publication: 2012
Authors: Zaenal Abidin, Agus Harjoko
10.5120/9531-3956

Zaenal Abidin, Agus Harjoko . A Neural Network based Facial Expression Recognition using Fisherface. International Journal of Computer Applications. 59, 3 ( December 2012), 30-34. DOI=10.5120/9531-3956

@article{ 10.5120/9531-3956,
author = { Zaenal Abidin, Agus Harjoko },
title = { A Neural Network based Facial Expression Recognition using Fisherface },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 3 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number3/9531-3956/ },
doi = { 10.5120/9531-3956 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:10.638391+05:30
%A Zaenal Abidin
%A Agus Harjoko
%T A Neural Network based Facial Expression Recognition using Fisherface
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 3
%P 30-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Facial expression plays significant role for human beings to communicate their emotions. Automatic facial expression analysis is a flourishing area of research in computer science, and it is also still a challenge. This paper discusses the application of a natural network based facial expression recognition using fisherface. Back propagation neural network is used as a classifier for classifying the expressions. For face portion segmentation and localization, integral projection method is used. The accuracy of system performance have evaluated on a public database "Japanese Female Facial Expression (JAFFE)". The experimental results show the effectiveness of our scheme. The best average recognition rate achieves 89. 20%.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Facial Expression Fisherface Neural Network JAFFE

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