Offline handwritten character recognition of Gujrati script using pattern matching
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
On recognition of handwritten bangla characters
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
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The theory of fuzzy set provides an approximate but effective means of describing the behavior of ill-defined systems. Patterns of human origin like handwritten characters are to some extent found to be fuzzy in nature. It is decided to use fuzzy conceptual approach effectively in this paper. In fact, in this paper, we attempt to use the fuzzy concept on handwritten Numerals and Tamil characters to classify them as one among the prototype characters using a feature called distance from the frame and a suitable membership function. The unknown and prototype characters are preprocessed and considered for recognition. The algorithm is tested for about 250 samples for numerals and seven chosen Tamil characters and the success rate obtained varies from 76% to 94%.