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A Novel Algorithm for Human Facial Expression Recognition using Gabor Filter and Eigenvector
by
Poonam Dhankhar,
Neha Sahu
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 97 - Number 7 |
| Year of Publication: 2014 |
| Authors: Poonam Dhankhar, Neha Sahu |
10.5120/17018-7300
|
Poonam Dhankhar, Neha Sahu . A Novel Algorithm for Human Facial Expression Recognition using Gabor Filter and Eigenvector. International Journal of Computer Applications. 97, 7 ( July 2014), 17-21. DOI=10.5120/17018-7300
@article{
10.5120/17018-7300,
author = {
Poonam Dhankhar,
Neha Sahu
},
title = { A Novel Algorithm for Human Facial Expression Recognition using Gabor Filter and Eigenvector },
journal = {
International Journal of Computer Applications
},
issue_date = { July 2014 },
volume = { 97 },
number = { 7 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = {
17-21
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume97/number7/17018-7300/
},
doi = { 10.5120/17018-7300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:28.627534+05:30
%A Poonam Dhankhar
%A Neha Sahu
%T A Novel Algorithm for Human Facial Expression Recognition using Gabor Filter and Eigenvector
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 7
%P 17-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Facial Expression Recognition has always been topic of interest for research in field of human computer/machine interaction based on machine learning and image processing tools. However, the inaccuracy of such systems is always challenging. Hence to resolve this problem, a novel algorithm using Gabor Filter and Eigenvector Based Distributed Feature, is proposed in this paper. The work is enhancement of existing Face Identification by covering the challenges of Facial Expression. The approach combines face recognition along with facial expression recognition. Over the time authentication system is replaced by biometric authentication. These systems are based on some human features and behavior. The mean accuracy is improved to 93. 4%. The effectiveness and stability is shown in experimental results of the algorithm.
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Index Terms
Computer Science
Information Sciences
Keywords