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Use Artificial Neural Network Neococcontron in Distinguishing Handwritten Arabic Numerals | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 22, Volume 6, Issue 1, 2009, Pages 47-59 PDF (434.44 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2009.163784 | ||
| Authors | ||
| Laheeb Mohammad Ibrahim; Hanan H. Ali | ||
| College of Computer Sciences and Mathematics University of Mosul, Iraq | ||
| Abstract | ||
| Artificial Neural Networks have wide applications now a day, Among these are in the field of pattern recognition and image processing. This is due to the fact that it has a good performance and advanced mathematical computation power particularly its flexible adaptation to parallelism technique. That is why this research is conducted for the recognition of hand written Arabic numbers (0 - 9). Recognition artificial neural network is simulated the human eye for tracking the property of entered image (Feature extractor). The systems examined on samples of Arabic numbers its performance was found to be balanced in spite of the variations in position and direction of the recognized number. | ||
| Keywords | ||
| Artificial Neural Networks; Pattern Recognition; Neococcontron Artificial Neural Networks | ||
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