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Hand Writing Numbers detection using Artificial Neural Networks | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Article 1, Volume 13, Issue 2, 2013, Pages 19-25 | ||
| Authors | ||
| Yasmin Abdul Ghani Abdul Kareem; Dr. Ahmed Khalaf Hamoudi; Ahmad Saeed Mohammad | ||
| Abstract | ||
| Abstract –A fast, simple and effective method to recognize different hand writing numbers is presented. Hand writing recognition took high attention in the recent years by researcher of the intelligent systems, since it can be used in many applications such as car plate recognition and bank account checking. The purpose of this paper is to develop 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 the digits number (i.e., hand writing numbers). Image sample of hand writing numbers is acquired by a digital camera or scanner, and then it is converted by using the suggested work which is consisted of four stages to resolve digits. Artificial neural network (ANN) was applied to recognize the hand writing numbers. Learning method of the ANN is back propagation and all process handled by MATLAB language. | ||
| Keywords | ||
| Image Processing; artificial neural network; Back; propagation; Car plate recognition | ||
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