K-Means approach to facial expressions recognition

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.

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Abstract

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%.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	3236/29169 doi: 10.1109/ICITeS.2012.6216649 Print ISBN: 978-1-4673-1167-0
Uncontrolled Keywords:	component: facial expression; recognition; features; k-means; clustering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Nur' Aini Abu Bakar
Date Deposited:	25 Feb 2013 10:24
Last Modified:	02 Apr 2013 10:42
URI:	http://irep.iium.edu.my/id/eprint/29169

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