Use Artificial Neural Network Neococcontron in Distinguishing Handwritten Arabic Numerals

• Published in: AL-Rafidain journal of computer sciences and mathematics Vol. 6; no. 1; pp. 47 - 59
• Main Authors: Ibrahim, Laheeb, Ali, Hanan
• Format: Journal Article
• Language: Arabic; English
• Published: Mosul University 01-03-2009
• Subjects: artificial neural networks; neococcontron artificial neural networks; pattern recognition
• ISSN: 2311-7990; 1815-4816; 2311-7990
• DOI: 10.33899/csmj.2009.163784

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.