Feature Analysis for Symbol Recognition by Elastic Matching
نویسنده
چکیده
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.
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ورودعنوان ژورنال:
- IBM Journal of Research and Development
دوره 31 شماره
صفحات -
تاریخ انتشار 1987