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This paper researches offline Arabic handwriting recognition. It introduces a new approach to segmentation ligature and open Arabic character based on the structural perspective dealing with sub-words/words, including dots to recognize individual letters. Segmentation approaches that have been integrated into the recognition phase have the capability to deal with ligatures and closed characters issues. This complex problem is due to the cursive writing nature of the Arabic language. This paper also develops an Arabic character algorithm on segmented, pixel based and centre reign (CR) to recognize the letters. The evaluation results are stated in the IFN/ENIT and IAM database which indicate the recognition rate and the effectiveness of our system.

Efficient Approach to Segment Ligatures and Open Characters in offline Arabic Text