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Authors: Mohamed Farouk 1 ; Alistair Sutherland 1 and Amin Shokry 2

Affiliations: 1 Dublin City University, Ireland ; 2 Faculty of Engineering and Alexandria University, Egypt

ISBN: 978-989-8565-41-9

Keyword(s): Principal Component Analysis, Gaussian Blurring, Multi-dimensional Grids, Multi-stage Hierarchy.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Computer Vision, Visualization and Computer Graphics ; Embedding and Manifold Learning ; ICA, PCA, CCA and other Linear Models ; Image Understanding ; Object Recognition ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: This paper presents a hand-shape recognition algorithm based on using multi-dimensional grids (MDGs) to divide the feature space of a set of hand images. Principal Component Analysis (PCA) is used as a feature extraction and dimensionality reduction method to generate eigenspaces from example images. Images are blurred by convolving with a Gaussian kernel as a low pass filter. Image blurring is used to reduce the non-linearity in the manifolds within the eigenspaces where MDG structure can be used to divide the spaces linearly. The algorithm is invariant to linear transformations like rotation and translation. Computer generated images for different hand-shapes in Irish Sign Language are used in testing. Experimental results show accuracy and performance of the proposed algorithm in terms of blurring level and MDG size.

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Paper citation in several formats:
Farouk, M.; Farouk, M.; Sutherland, A. and Shokry, A. (2013). Nonlinearity Reduction of Manifolds using Gaussian Blur for Handshape Recognition based on Multi-Dimensional Grids.In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 303-307. DOI: 10.5220/0004267103030307

@conference{icpram13,
author={Mohamed Farouk. and Mohamed Farouk. and Alistair Sutherland. and Amin Shokry.},
title={Nonlinearity Reduction of Manifolds using Gaussian Blur for Handshape Recognition based on Multi-Dimensional Grids},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={303-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004267103030307},
isbn={978-989-8565-41-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Nonlinearity Reduction of Manifolds using Gaussian Blur for Handshape Recognition based on Multi-Dimensional Grids
SN - 978-989-8565-41-9
AU - Farouk, M.
AU - Farouk, M.
AU - Sutherland, A.
AU - Shokry, A.
PY - 2013
SP - 303
EP - 307
DO - 10.5220/0004267103030307

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