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Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05)
Recognition of Printed and Handwritten Tamil Characters Using Fuzzy Approach
Las Vegas, Nevada
August 16-August 18
ISBN: 0-7695-2358-7
| ASCII Text | x | ||
| R. M. Suresh, L. Ganesan, "Recognition of Printed and Handwritten Tamil Characters Using Fuzzy Approach," Computational Intelligence and Multimedia Applications, International Conference on, pp. 291-286, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/ICCIMA.2005.47, author = {R. M. Suresh and L. Ganesan}, title = {Recognition of Printed and Handwritten Tamil Characters Using Fuzzy Approach}, journal ={Computational Intelligence and Multimedia Applications, International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2358-7}, pages = {291-286}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCIMA.2005.47}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computational Intelligence and Multimedia Applications, International Conference on TI - Recognition of Printed and Handwritten Tamil Characters Using Fuzzy Approach SN - 0-7695-2358-7 SP291 EP286 A1 - R. M. Suresh, A1 - L. Ganesan, PY - 2005 KW - null VL - 0 JA - Computational Intelligence and Multimedia Applications, International Conference on ER - | |||
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%.
Citation:
R. M. Suresh, L. Ganesan, "Recognition of Printed and Handwritten Tamil Characters Using Fuzzy Approach," iccima, pp.291-286, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005
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