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Author: Sanjay Kumar

Affiliation: School of Electrical and Computer Engineering, RMIT University, Australia

Keyword(s): Visual Speech Recognition, Motion History Image, Discrete Stationary Wavelet Transform, Image Moments, Artificial Neural Network.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Mobile Robots and Autonomous Systems ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: This paper presents a novel vision based approach to identify utterances consisting of consonants. A view based method is adopted to represent the 3-D image sequence of the mouth movement in a 2-D space using grayscale images named as motion history image (MHI). MHI is produced by applying accumulative image differencing technique on the sequence of images to implicitly capture the temporal information of the mouth movement. The proposed technique combines Discrete Stationary Wavelet Transform (SWT) and image moments to classify the MHI. A 2-D SWT at level 1 is applied to decompose MHI to produce one approximate and three detail sub images. The paper reports on the testing of the classification accuracy of three different moment-based features, namely Zernike moments, geometric moments and Hu moments computed from the approximate representation of MHI. Supervised feed forward multilayer perceptron (MLP) type artificial neural network (ANN) with back propagation learning algorithm is used to classify the moment-based features. The performance and image representation ability of the three moments features are compared in this paper. The preliminary results show that all these moments can achieve high recognition rate in classification of 3 consonants. (More)

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Paper citation in several formats:
Kumar, S. (2006). VISUAL SPEECH RECOGNITION USING WAVELET TRANSFORM AND MOMENT BASED FEATURES. In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-60-3; ISSN 2184-2809, SciTePress, pages 366-371. DOI: 10.5220/0001210203660371

@conference{icinco06,
author={Sanjay Kumar.},
title={VISUAL SPEECH RECOGNITION USING WAVELET TRANSFORM AND MOMENT BASED FEATURES},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2006},
pages={366-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001210203660371},
isbn={978-972-8865-60-3},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - VISUAL SPEECH RECOGNITION USING WAVELET TRANSFORM AND MOMENT BASED FEATURES
SN - 978-972-8865-60-3
IS - 2184-2809
AU - Kumar, S.
PY - 2006
SP - 366
EP - 371
DO - 10.5220/0001210203660371
PB - SciTePress

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