K-means approach to facial expressions recognition

Author

Zeki, Ahmed M. ; Ali, Ruzanna Bt Serda ; Appalasamy, Patma

Author_Institution

Dept. of Inf. Syst., Univ. of Bahrain Sakheer, Sakheer, Bahrain

fYear

2012

fDate

24-26 March 2012

Firstpage

1

Lastpage

4

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%.

Keywords

emotion recognition; face recognition; feature extraction; pattern clustering; cropped boundary regions; face boundary; facial expressions recognition; feature extraction; k-means approach; region of interest; Educational institutions; Face; Face recognition; Feature extraction; Image color analysis; Image edge detection; Mouth; clustering; facial expression; features; k-means; recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and e-Services (ICITeS), 2012 International Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4673-1167-0

Type

conf

DOI

10.1109/ICITeS.2012.6216649

Filename

6216649