K-Means approach to facial expressions recognition

A method is proposed to recognize facial expressions. The method used two simple features to recognize the expressions which are the density of pixels and the ratio of height to width of cropped boundary regions. The system first applies some preprocessing stages to enhance the input image and reduc...

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Bibliographic Details
Main Authors:	Zeki, Ahmed M., Serda Ali, Ruzanna, Appalasamy, Patma
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/29169/ http://irep.iium.edu.my/29169/1/K-Means_Approach_to_Facial_Expressions.pdf

id	iium-29169
recordtype	eprints
spelling	iium-291692013-04-02T02:42:20Z http://irep.iium.edu.my/29169/ K-Means approach to facial expressions recognition Zeki, Ahmed M. Serda Ali, Ruzanna Appalasamy, Patma QA75 Electronic computers. Computer science A method is proposed to recognize facial expressions. The method used two simple features to recognize the expressions which are the density of pixels and the ratio of height to width of cropped boundary regions. The system first applies some preprocessing stages to enhance the input image and reduce the noise. The face boundary will then be detected. The region of interest (i.e. mouth and eyes) will be determined, from which, features will be extracted. Finally based on the features extracted, the face will be classified into one of three different classes using the K-means method. The method was applied and tested on a dataset of 200 images of faces and the success rate obtained was 76.5%. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/29169/1/K-Means_Approach_to_Facial_Expressions.pdf Zeki, Ahmed M. and Serda Ali, Ruzanna and Appalasamy, Patma (2012) K-Means approach to facial expressions recognition. In: 2012 International Conference on Information Technology and e-Services, 24-26 March 2012, Sousse, Tunisia.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Zeki, Ahmed M. Serda Ali, Ruzanna Appalasamy, Patma K-Means approach to facial expressions recognition
description	A method is proposed to recognize facial expressions. The method used two simple features to recognize the expressions which are the density of pixels and the ratio of height to width of cropped boundary regions. The system first applies some preprocessing stages to enhance the input image and reduce the noise. The face boundary will then be detected. The region of interest (i.e. mouth and eyes) will be determined, from which, features will be extracted. Finally based on the features extracted, the face will be classified into one of three different classes using the K-means method. The method was applied and tested on a dataset of 200 images of faces and the success rate obtained was 76.5%.
format	Conference or Workshop Item
author	Zeki, Ahmed M. Serda Ali, Ruzanna Appalasamy, Patma
author_facet	Zeki, Ahmed M. Serda Ali, Ruzanna Appalasamy, Patma
author_sort	Zeki, Ahmed M.
title	K-Means approach to facial expressions recognition
title_short	K-Means approach to facial expressions recognition
title_full	K-Means approach to facial expressions recognition
title_fullStr	K-Means approach to facial expressions recognition
title_full_unstemmed	K-Means approach to facial expressions recognition
title_sort	k-means approach to facial expressions recognition
publishDate	2012
url	http://irep.iium.edu.my/29169/ http://irep.iium.edu.my/29169/1/K-Means_Approach_to_Facial_Expressions.pdf
first_indexed	2023-09-18T20:42:48Z
last_indexed	2023-09-18T20:42:48Z
_version_	1777409477259034624

K-Means approach to facial expressions recognition

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