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Texture based Emotion Recognition from Facial Expressions using Support Vector Machine

by A. Punitha, M. Kalaiselvi Geetha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 5
Year of Publication: 2013
Authors: A. Punitha, M. Kalaiselvi Geetha
10.5120/13854-1715

A. Punitha, M. Kalaiselvi Geetha . Texture based Emotion Recognition from Facial Expressions using Support Vector Machine. International Journal of Computer Applications. 80, 5 ( October 2013), 1-5. DOI=10.5120/13854-1715

@article{ 10.5120/13854-1715,
author = { A. Punitha, M. Kalaiselvi Geetha },
title = { Texture based Emotion Recognition from Facial Expressions using Support Vector Machine },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 5 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number5/13854-1715/ },
doi = { 10.5120/13854-1715 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:42.355221+05:30
%A A. Punitha
%A M. Kalaiselvi Geetha
%T Texture based Emotion Recognition from Facial Expressions using Support Vector Machine
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 5
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The mission of automatically recognizing different facial expressions in human-computer environment is significant and challenging. This paper presents a method to identify the facial expressions by processing images taken from Facial Expression Database. The approach for emotion recognition is based on the texture features extracted from the gray-level co-occurrence matrix(GLCM) . The results show that the features are highly efficient to discriminate the expressions and require less computation time. The extracted GLCM features are trained with Support Vector Machine using different kernels to recognize the basic emotions Happy, Disgust, Surprise and Neutral.

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Index Terms

Computer Science
Information Sciences

Keywords

Gray Level Co-Occurrence Matrix (GLCM) Texture Feature Support Vector Machine

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