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Facial Expression Recognition using Patch based Gabor Features

by Anju Chandran, Vaqar Ansari
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 7
Year of Publication: 2016
Authors: Anju Chandran, Vaqar Ansari
10.5120/ijais2016451526

Anju Chandran, Vaqar Ansari . Facial Expression Recognition using Patch based Gabor Features. International Journal of Applied Information Systems. 10, 7 ( March 2016), 23-28. DOI=10.5120/ijais2016451526

@article{ 10.5120/ijais2016451526,
author = { Anju Chandran, Vaqar Ansari },
title = { Facial Expression Recognition using Patch based Gabor Features },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2016 },
volume = { 10 },
number = { 7 },
month = { March },
year = { 2016 },
issn = { 2249-0868 },
pages = { 23-28 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number7/877-2016451526/ },
doi = { 10.5120/ijais2016451526 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:02:50.133750+05:30
%A Anju Chandran
%A Vaqar Ansari
%T Facial Expression Recognition using Patch based Gabor Features
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 7
%P 23-28
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Facial Expression is one of the most natural, and powerful means for human beings to Communicate their emotions and intentions. The recognition of facial expressions is very important for interactive Human Computer Interfaces. One crucial step for facial expression recognition (FER) is the accurate extraction of emotional features. Numerous feature extraction techniques have been developed for recognition of expressions from static images as well as videos. This paper put forward an approach using distance features that are obtained by extracting patch based 3D Gabor features and conducting patch matching operations. The experimental results shows high correct recognition rate (CRR), fast processing time and significant performance improvements because of the consideration of facial components and muscle movements. Comparison with the state -of -the art indicates that the proposed approach achieves high CRR for JAFFE database and is one among the top performers on the Cohn-Kanade (CK) database.

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Index Terms

Computer Science
Information Sciences

Keywords

Facial components feature extraction Gabor filter patch matching.

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