Automatic facial expression recognition system using neural networks

Shen-Chuan Tai, K. C. Chung

研究成果: Conference contribution

10 引文 斯高帕斯(Scopus)

摘要

In this paper, an automatic facial expression recognition system is presented. When a face image is input, two inner canthi are detected as the reference points for searching the expression features extracted from the contour and displacement of eyebrows, eyes, and mouth. Our feature extraction method can reduce the partial influence of shadows and noises. Finally, the expression features are used as the input to an Elman Neural Network of classifiers. The results on the JAFFE facial database show an average recognition accuracy of 84.7% in seven expressions by automatic canthi detection and 92.2% by manual canthi detection.

原文English
主出版物標題TENCON 2007 - 2007 IEEE Region 10 Conference
DOIs
出版狀態Published - 2007 十二月 1
事件IEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan
持續時間: 2007 十月 302007 十一月 2

出版系列

名字IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

OtherIEEE Region 10 Conference, TENCON 2007
國家/地區Taiwan
城市Taipei
期間07-10-3007-11-02

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電氣與電子工程

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