Eastern Arabic Handwritten Numerals Recognition
Marco Alfonse, Mohamed Almorsy, Mohamed Samir Barakat · International Journal of Computer and Electrical Engineering · 2010
Character recognition plays an important role in the modern world. It can solve more complex problems and make human's job easier. An example is handwritten numerals recognition. This system can be used for many applications such as automatic recognition of the courtesy amount in bank cheques and recognition of postal code, as they require a high accuracy of recognition, and include many variations. In this paper, we have presented a new algorithm for segmenting connected Eastern Arabic numerals, a hybrid classifier to improve recognition accuracy. The hybrid classifier consists of Multilayer neural network and decision tree. The testing of the proposed recognition system indicates that the classification accuracy is in average 83%.