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Proceedings Paper

Invariant 2D object recognition using the wavelet transform and structured neural networks
Author(s): Mahmoud I. Khalil; Mohamed M. Bayoumi
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Paper Abstract

This paper applies the dyadic wavelet transform and the structured neural networks approach to recognize 2D objects under translation, rotation, and scale transformation. Experimental results are presented and compared with traditional methods. The experimental results showed that this refined technique successfully classified the objects and outperformed some traditional methods especially in the presence of noise.

Paper Details

Date Published: 22 March 1999
PDF: 11 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342942
Show Author Affiliations
Mahmoud I. Khalil, Queen's Univ. (Canada)
Mohamed M. Bayoumi, Queen's Univ. (Canada)

Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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