Application of Artificial Neural Networks Technology for Handwritten Arabic Letters Recognition

The mechanism that convert and detect the handwriting letters by using machine-encoded forms is called handwriting recognition. The interaction between machines and humans is very important so that the handwriting recognition must be found. The complexity of Arabic letters and the similarity of at least three letters is main challenge to recognize them .Thus, our main challenge is to propose a methodology, implementation and evaluation of Arabic letters recognition system by using Artificial Neural Network approach in order to achieve high accuracy with some techniques will be produced in this paper. In this paper, we apply recognition artificial neural network (ANN) for Arabic letters. We use the intensity values of pixels for input of the neural network. These results show that ANN with high number of training images have the highest performace.