On-line Recognition of Arabic Handwritten Characters
نویسندگان
چکیده
In this study, a new approach for the recognition of isolated handwritten Arabic characters is presented. The proposed method places a 5x5 grid on the character to extract the features needed for the recognition step. These features are calculated based on grid calculations. Then these features are feed to the decision tree to classify the character into one of the 28 classes. The classification process depends on the value assigned for each feature which lead to one leaf node in the decision tree that represent the Arabic character to be classified. Experimental results showed the robustness of the proposed approach for the recognition of Arabic handwritten isolated characters of a rate about 80.2%. The test was performed on 1120 different characters written be eight users, 40 examples for each of the 28 Arabic characters.
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