Title: Facial expression recognition using intelligent optical neural networks

Authors: K. Parimala Geetha, S. Sundaravadivelu, N. Albert Singh

Addresses: Department of Electronics and Electronics Engineering, Ponjesly College of Engineering, Nagercoil, Tamil Nadu 629003, India. ' Department of Electronics and Electronics Engineering, SSN College of Engineering, Chennai 603110, India. ' Bharat Sanchar Nigam Limited, Nagercoil, 629001, India

Abstract: The goal of this paper is automating facial expression analysis in facial images and image sequences using intelligent optical neural networks. Humans detect and interpret faces and facial expressions in a scene with little or no effort. Still, development of an automated system that accomplishes this task is rather difficult. A system that performs these operations accurately and in real time would form a big step in achieving a human-like interaction between man and machine. Automating facial expression analysis could bring facial expressions into man-machine interaction as a new modality and make the interaction tighter and more efficient. This paper proposes an optical neural network in detection of the facial expressions in images by extracting the gabor texture features. The Karhunen-Loeve Transform identifies the facial expression of the detected face. Results are analysed using the Cohn-Kanade facial expression database and the classification rate is proved higher compared to the approaches found in the literature.

Keywords: facial expression; optical neural networks; facial image analysis; facial recognition; expression recognition; facial images; image sequences.

DOI: 10.1504/IJSISE.2009.033726

International Journal of Signal and Imaging Systems Engineering, 2009 Vol.2 No.3, pp.141 - 147

Received: 17 Feb 2009
Accepted: 19 Oct 2009
Published online: 29 Jun 2010 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article