Arabic Character Recognition System Using Artificial Neural Network

This paper proposes a structural technique for the recognition of hand(printed) isolated Arabic character using Artificial Neural Networks. Its advantages are: it combines rule-based (structural) and classification tests; efficient for large and complex sets such as Arabic characters; not expensive for feature extraction; execution time does not depend on either the font or the size of the characters.