Abstract
See, stats, and : https : / / www . researchgate . net / publication / 259355999 A Recognition Article DOI : 10 . 5120 / 14487 - 2796 CITATIONS 0 READS 245 3 , including : Some : Control swarm Mahmood University 38 SEE Anwar - Saleh Al - Mustansiriya 11 SEE All . The . ABSTRACT In this paper , a delayed treatment to handwritten numerals with fuzzy logic has been provided . The patterns which used in this system consisted 100 patterns of 10 numerals (0 to 9) . They were taken from 10 different subjects and converted by the scanner to computer into 30×20 binary patterns . We used off - line system in take the patterns . The recognition rate is 94% .
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CITATION STYLE
KJasim, M., M Al-Saleh, A., & Aljanaby, A. (2013). A Fuzzy Logic based Handwritten Numeral Recognition System. International Journal of Computer Applications, 83(10), 36–43. https://doi.org/10.5120/14487-2796
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