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Recognition of Farsi Handwritten Numbers Using the Fuzzy Method
Mansoreh Sharizfadeh, Shahpour Alirezaee
Pages - 623 - 634     |    Revised - 01-11-2011     |    Published - 15-12-2011
Volume - 5   Issue - 5    |    Publication Date - November / December 2011  Table of Contents
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KEYWORDS
Character Recognition, Fuzzy, Geometric Feature
ABSTRACT
There are wide varieties of handwritten characters which differ not only from person to person but also from the state of mood of the same person. Nevertheless humans are trained to extract the specific features characterizing a symbol. This paper aims to introduce fuzziness in the definition of the proposed pattern features, which provides the enhancement to the handwritten character information to be stored. Some novel shape features in fuzzy linguistic domain are proposed. The experimental results indicate 95 % accuracy on recognition of Farsi numbers over the selected database.
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Mansoreh Sharizfadeh
- Iran
Dr. Shahpour Alirezaee
- Iran
sh_alirezaee@yahoo.com