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

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...

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Main Authors: Satiyan, M., Hariharan, M., Nagarajan, R.
Format: Article
Language:en
Published: UiTM Press 2010
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Online Access:https://ir.uitm.edu.my/id/eprint/61884/1/61884.pdf
https://ir.uitm.edu.my/id/eprint/61884/
https://jeesr.uitm.edu.my/v1/
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author Satiyan, M.
Hariharan, M.
Nagarajan, R.
author_facet Satiyan, M.
Hariharan, M.
Nagarajan, R.
author_sort Satiyan, M.
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description 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.
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institution Universiti Teknologi Mara
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spelling my.uitm.ir-618842025-07-31T03:49:51Z https://ir.uitm.edu.my/id/eprint/61884/ Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan jeesr Satiyan, M. Hariharan, M. Nagarajan, R. Pattern recognition systems 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. UiTM Press 2010-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/61884/1/61884.pdf Satiyan, M. and Hariharan, M. and Nagarajan, R. (2010) Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan. (2010) Journal of Electrical and Electronics Systems Research (JEESR) <https://ir.uitm.edu.my/view/publication/Journal_of_Electrical_and_Electronics_Systems_Research_=28JEESR=29.html>, 3 (1): 11. pp. 89-96. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/
spellingShingle Pattern recognition systems
Satiyan, M.
Hariharan, M.
Nagarajan, R.
Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan
title Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan
title_full Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan
title_fullStr Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan
title_full_unstemmed Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan
title_short Recognition of facial expression using Haar wavelet transform / M. Satiyan, M. Hariharan and R. Nagarajan
title_sort recognition of facial expression using haar wavelet transform / m. satiyan, m. hariharan and r. nagarajan
topic Pattern recognition systems
url https://ir.uitm.edu.my/id/eprint/61884/1/61884.pdf
https://ir.uitm.edu.my/id/eprint/61884/
https://jeesr.uitm.edu.my/v1/
url_provider http://ir.uitm.edu.my/