Facial expression identification system with Euclidean distance of facial edges

Author

Kherchaoui, S. ; Houacine, A.

Author_Institution

LCPTS, USTHB, Algiers, Algeria

fYear

2014

fDate

11-14 Aug. 2014

Firstpage

6

Lastpage

10

Abstract

In this paper we present facial expression recognition system. Identification and classification is performed on the seven basic expressions: happy, surprise, fear, disgust, sad, anger and a neutral state. This system consists of three main parts. The first step is the detection of the face and facial features to extract the face centered region. Next step consists of a normalization of this interest region and edge extraction. At this step we have a face edge image that we use to calculate the Euclidean distance of all pixels that constitute edges. The third step is the classification of different emotional state by the SVM method.

Keywords

edge detection; emotion recognition; face recognition; feature extraction; image classification; support vector machines; Euclidean distance; SVM method; edge extraction; facial expression identification system; facial expression recognition system; facial feature extraction; image classification; support vector machine; Face; Face recognition; Facial features; Feature extraction; Image edge detection; Support vector machines; edge detection; euclidian distance; facial expression identification; support vector machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of

Conference_Location

Tunis

Type

conf

DOI

10.1109/SOCPAR.2014.7007973

Filename

7007973