The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition is the building of the rule-base that would describe the characters to be recognized. The problem is complicated as different people write the same character in complete different ways. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals. © Springer-Verlag 2004.
CITATION STYLE
Ranawana, R., Palade, V., & Bandara, G. E. M. D. C. (2004). An efficient Fuzzy method for handwritten character recognition. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3214, 698–707. https://doi.org/10.1007/978-3-540-30133-2_92
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