A Novel Fuzzy Approach to Recognition of Online Persian Handwriting

Authors:
M. Soleymani Baghshah;S. Bagheri Shouraki;S. Kasaei
Affiliations:
MS Student of Sharif University of Technology of Iran;University of Technology of Iran;University of Technology of Iran
Venue:
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Year:
2005

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Abstract

Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. This paper presents a novel fuzzy approach for recognizing online Persian (Farsi) handwriting which is also useful for multi-writer environments. In this approach, the representation of handwriting parameters is accomplished by fuzzy linguistic modeling. The representative features are selected to describe the shape of tokens. Fuzzy linguistic terms provide robustness against handwriting variations. The purposed method was run on a database of Persian isolated handwritten characters and achieved a relatively high recognition rate.