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Comparative Study of Facial Expression Recognition Techniques

by Mandeep Kaur, Rajeev Vashisht
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 13 - Number 1
Year of Publication: 2011
Authors: Mandeep Kaur, Rajeev Vashisht
10.5120/1741-2368

Mandeep Kaur, Rajeev Vashisht . Comparative Study of Facial Expression Recognition Techniques. International Journal of Computer Applications. 13, 1 ( January 2011), 43-50. DOI=10.5120/1741-2368

@article{ 10.5120/1741-2368,
author = { Mandeep Kaur, Rajeev Vashisht },
title = { Comparative Study of Facial Expression Recognition Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 13 },
number = { 1 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume13/number1/1741-2368/ },
doi = { 10.5120/1741-2368 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:39.943756+05:30
%A Mandeep Kaur
%A Rajeev Vashisht
%T Comparative Study of Facial Expression Recognition Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 13
%N 1
%P 43-50
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper explores and compares techniques for automatically recognizing facial actions in sequences of images.The comparative study of Facial Expression Recognition techniques namely Principal Component analysis (PCA), PCA with SVD (Singular Value Decomposition) is done .The objective of this research is to show that PCA with SVD is superior to former technique in terms of recognition rate .To test and evaluate their performance, experiments are performed using JAFEE and real database using both techniques. The universally accepted five principal emotions to be recognized are: Angry, Happy, Sad, Disgust and Surprise along with neutral. The recognition rate is obtained on all the facial expressions.

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Index Terms

Computer Science
Information Sciences

Keywords

Facial Expression Recognition Principle component Analysis (PCA) Recognition Rate Singular Value Decomposition (SVD)

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