TY - JOUR ID - TI - Hand Writing Numbers detection using Artificial Neural Networks AU - Yasmin Abdul Ghani Abdul Kareem1 AU - Dr. Ahmed Khalaf Hamoudi2 AU - Ahmad Saeed Mohammad1 PY - 2013 VL - 13 IS - 2 SP - 19 EP - 25 JO - IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم SN - 18119212 AB - Abstract –A fast, simple and effective method to recognize different hand writingnumbers is presented. Hand writing recognition took high attention in the recent yearsby researcher of the intelligent systems, since it can be used in many applications suchas car plate recognition and bank account checking. The purpose of this paper is todevelop a method for hand writing numbers detection by using artificial neural network.The suggested work is divided mainly into four stages and is proposed to resolve thedigits number (i.e., hand writing numbers). Image sample of hand writing numbers isacquired by a digital camera or scanner, and then it is converted by using the suggestedwork which is consisted of four stages to resolve digits. Artificial neural network(ANN) was applied to recognize the hand writing numbers. Learning method of theANN is back propagation and all process handled by MATLAB language.

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