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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2009 Vol.1(5): 638-642 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.103

Effectiveness of Eigenspaces for Facial Expressions Recognition

G. R. S. Murthy, R. S. Jadon

Abstract—Making Computer Systems to recognize and infer facial expressions from the user image is a challenging research topic. A method of facial expression recognition, based on Eigenspaces is presented in this paper. In our approach we identify the user’s facial expressions from the input images, using a method that was modified from eigen facere cognition. We have evaluated our method in terms of recognition accuracy using two well known Facial Expressions databases, Cohn- Kanade facial expression database and Japanese Female Facial Expression database. The experimental results show the effectiveness of our scheme.

Index Terms—Facial Expression Recognition, Facial Expressions, Human Computer Interaction, Eigenspaces,PCA.

Manuscript received July 8, 2009. G. R. S. Murthy is with Madhav Institute of Technology and Science, Gwalior, (M. P.), India. 474005 ( +91-09893107608; e-mail: murthy.grs@ gmail.com).
R. S. Jadon, is with Madhav Institute of Technology and Science, Gwalior, (M. P.), India. 474005 (e-mail: rsj_mits@yahoo.com).

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Cite: G. R. S. Murthy, R. S. Jadon, "Effectiveness of Eigenspaces for Facial Expressions Recognition," International Journal of Computer Theory and Engineering vol. 1, no. 5, pp. 638-642, 2009.

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