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Feature analysis for symbol recognition by elastic matching

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1 Author(s)
Kurtzberg, Jerome M. ; IBM Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598, USA

A technique has been developed for the recognition of unconstrained handwritten discrete symbols based on elastic matching against a set of prototypes generated by individual writers. The incorporation of feature analysis with elastic matching to eliminate unlikely prototypes is presented in this paper and is shown to greatly reduce the required processing time without any deterioration in recognition performance.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:31 ,  Issue: 1 )