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Radially Defined Local Binary Patterns for Facial Expression Recognition

by Megha V. Jonnalagedda, Dharmpal D. Doye
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 21
Year of Publication: 2015
Authors: Megha V. Jonnalagedda, Dharmpal D. Doye
10.5120/21360-4369

Megha V. Jonnalagedda, Dharmpal D. Doye . Radially Defined Local Binary Patterns for Facial Expression Recognition. International Journal of Computer Applications. 119, 21 ( June 2015), 17-22. DOI=10.5120/21360-4369

@article{ 10.5120/21360-4369,
author = { Megha V. Jonnalagedda, Dharmpal D. Doye },
title = { Radially Defined Local Binary Patterns for Facial Expression Recognition },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 21 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number21/21360-4369/ },
doi = { 10.5120/21360-4369 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:39.718331+05:30
%A Megha V. Jonnalagedda
%A Dharmpal D. Doye
%T Radially Defined Local Binary Patterns for Facial Expression Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 21
%P 17-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic Facial Expression Recognition (FER) has attracted the attention of many researchers due to its potential applications. Extraction of proper and sufficient features from the facial image is the most important step for effective FER. As facial images can be differentiated from other textural images in the sense that they exhibit specific information as regards expressions around certain face regions (such as areas surrounding the eyes, nose and mouth), efforts need to be done on identifying the specific facial expression related information. Two different approaches have been envisaged and proposed in this paper taking into consideration the pixel value variations exhibited in different directions or regions when different expressions are subjected to feature extraction. The technique proposed basically finds Local Binary Pattern (LBP) like features but along the radial lines taken at specific angle. Another approach proposed considers the expression specific areas like eyes, nose and mouth for finding similar radial LBPs. The overall efficiency obtained is comparable to the popularly used LBP technique. Comparatively lesser time required for feature extraction and recognition as well as smaller region considered for feature extraction are promising aspects of the proposed techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Radial Local Binary Pattern (RLBP)

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