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International Journal of Soft Computing
Year: 2019 | Volume: 14 | Issue: 1 | Page No.: 1-5
DOI: 10.3923/ijscomp.2019.1.5  
Recognition of Similar Shaped Handwritten Arabic Characters Using Neural Network
Rashad A. Al-Jawfi
 
Abstract: Recognition of Arabic handwriting characters is a difficult task due to similar appearance of some different characters. However, the selection of the method for feature extraction remains the most important step for achieving high recognition accuracy. In this study, a novel method is provided to recognize handwritten Arabic characters based on their features extraction and adaptive smoothing technique. In this study, combination of two approaches will be introduce, one of them is feature selections methods and the other is adaptive smoothing technique from smooth shape of character. Combination of both these approaches leads to the better results.
 
How to cite this article:
Rashad A. Al-Jawfi , 2019. Recognition of Similar Shaped Handwritten Arabic Characters Using Neural Network. International Journal of Soft Computing, 14: 1-5.
DOI: 10.3923/ijscomp.2019.1.5
URL: http://medwelljournals.com/abstract/?doi=ijscomp.2019.1.5