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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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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/29169/1/K-Means_Approach_to_Facial_Expressions.pdf
http://irep.iium.edu.my/29169/
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spelling my.iium.irep.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 REM 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.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/29169/1/K-Means_Approach_to_Facial_Expressions.pdf
http://irep.iium.edu.my/29169/
_version_ 1643609618897698816
score 13.211869

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