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IBM Journal of Research and Development  
Volume 31, Number 1, Page 91 (1987)
Office Automation Technologies
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Feature analysis for symbol recognition by elastic matching

by J. M. Kurtzberg
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.
Related Subjects: Algorithms; Handwriting recognition