Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan

Satiyan, M. and Hariharan, M. and Nagarajan, R. (2010) Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan. Journal of Electrical and Electronics Systems Research (JEESR), 3: 11. pp. 89-96. ISSN 1985-5389

Abstract

This paper investigates the performance of a multiresolution technique and statistical features for facial expression recognition using Haar wavelet transform.
Multiresolution was conducted up to fifth level of decomposition. Six statistical features namely variance, standard deviation, mean, power, energy and entropy were derived from the approximation coefficients for each level of decomposition. These statistical features were used as an input to the neural network for classifying 8 facial expressions. Standard deviation from the first level of decomposition was found to give better result compared to other statistical features at different level of decomposition.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Satiyan, M.
satiyan_316@yahoo.com
Hariharan, M.
hari@unimap.edu.my
Nagarajan, R.
nagarajan@unimap.edu.my
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Pattern recognition systems
Journal or Publication Title: Journal of Electrical and Electronics Systems Research (JEESR)
UiTM Journal Collections: UiTM Journal > Journal of Electrical and Electronic Systems Research (JEESR)
ISSN: 1985-5389
Volume: 3
Page Range: pp. 89-96
Keywords: Facial expression recognition, multiresolution technique, Haar wavelet transform, artificial neural network
Date: June 2010
URI: https://ir.uitm.edu.my/id/eprint/61884
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