Hand Writing Numbers detection using Artificial Neural Networks

Authors

• Ahmad Saeed, Computer & Software Eng., College of Engineering, Al- Mustansiriya Univ., Baghdad, IraqFollow
• Ahmed Khalaf Hamoudi Dr., Control & System Engineering, University of Technology, Baghdad, IraqFollow
• Yasmin Abdul Ghani Abdul Kareem, Computer & Software Eng., College of Engineering, Al- Mustansiriya Univ., Baghdad, IraqFollow

Document Type

Original Study

Keywords

Computer Engineering

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.

How to Cite This Article

Saeed, Ahmad; Hamoudi, Ahmed Khalaf Dr.; and Kareem, Yasmin Abdul Ghani Abdul (2013) "Hand Writing Numbers detection using Artificial Neural Networks," Iraqi Journal of Computers, Communications, Control and Systems Engineering: Vol. 13: Iss. 2, Article 3.
Available at: https://ijccce.researchcommons.org/journal/vol13/iss2/3