DOIONLINE

DOIONLINE NO - IJIEEE-IRAJ-DOI-3344

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International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE
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Volume Issue
Issue
Volume-3,Issue-11  ( Nov, 2015 )
Paper Title
Facial Expression Recognition Using Local Facial Features
Author Name
Szu‐Han Wu, Chih‐Chin Lai, Chih‐Hung Wu, Shing‐Tai Pan, Shie‐Jue Lee
Affilition
Department of Electrical Engineering, National University of Kaohsiung, 811 Kaohsiung, Taiwan Department of Computer Science and Information Engineering, National University of Kaohsiung, 811 Kaohsiung, Taiwan Department of Electrical Engineering, National Sun Yat‐Sen University, 804 Kaohsiung, Taiwan
Pages
18-21
Abstract
Facial expression recognition has received a lot of attention in recent years due to its importance in many multimedia and human-computer interaction applications. One of the critical issues for a successful facial expression recognition system is to develop a discriminative feature descriptor. In this paper, we present a texture descriptor, Local Direction and Transition Pattern, to effectively capture the facial features. The recognition performance of the proposed method is evaluated on the Cohn-Kanade facial expression dataset with a support vector machine classifier. Experimental results show that the proposed method yields good recognition accuracy than other existing methods. Keywords- Facial Expression Recognition, Local Direction and Transition Pattern, Support Vector Machine
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