Large Class Iconic Pattern Recognition An OCR Case Study

Abhijit Mahalanobis; David Casasent

doi:10.1117/12.937708

27 March 1987 Large Class Iconic Pattern Recognition An OCR Case Study

Abhijit Mahalanobis, David Casasent

Proceedings Volume 0726, Intelligent Robots and Computer Vision V; (1987) https://doi.org/10.1117/12.937708
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States

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.

Citation Download Citation

Abhijit Mahalanobis and David Casasent "Large Class Iconic Pattern Recognition An OCR Case Study", Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); https://doi.org/10.1117/12.937708

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