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Proceedings Paper

Symmetry recognition in images
Author(s): Kumar Eswaran
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Paper Abstract

This paper is concerned with the problem of separation of data, by a Neural based computer recognition system. To this end certain types of data which are 'tricky' are studied in order to see if they can be separated (i.e. classified) by a neural network or by a Kohonen based classifier. It is shown that there exist data which cannot simply be separated by a nearest distance classifier and yet can be treated well by a neural network, these correspond to the symmetry problem in images.

Paper Details

Date Published: 22 March 1999
PDF: 9 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342899
Show Author Affiliations
Kumar Eswaran, Bharat Heavy Electricals Ltd. (India)


Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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