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Proceedings Paper

Large Class Iconic Pattern Recognition An OCR Case Study
Author(s): Abhijit Mahalanobis; David Casasent
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Paper Abstract

New large class filters are used for the automatic recognition of characters. A special set of multi-level multi-filters (referred to as "iconic filters") is described for use in the super-class recognition problem. Dif-ferent types of iconic filters are considered and the results of such tests are reported. System performance under simulated nonideal conditions is detailed. The observed behavior of iconic filters is quantified, and an initial explanation for the effect of a large number of training set images is provided. New solutions are advanced, and the the utility of iconic filters for large multi-class problems is demonstrated. This is the first data to be reported on the use of multi-level multi-filters for a large class pattern recognition problem.

Paper Details

Date Published: 27 March 1987
PDF: 26 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937708
Show Author Affiliations
Abhijit Mahalanobis, Carnegie Mellon University (United States)
David Casasent, Carnegie Mellon University (United States)


Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)

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