Fast Technique to Recognize Closed Characters in Arabic Handwriting | ||
| MSA Engineering Journal | ||
| Volume 2, Issue 2 - Serial Number 6, March 2023, Pages 1048-1061 PDF (569.34 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/msaeng.2023.291928 | ||
| Author | ||
| shimaa Hany Kandeel | ||
| Faculty of electronic Engineering | ||
| Abstract | ||
| Considering the distinctive features and characteristics of Arabic scripts, recognizing handwritten Arabic characters is still widely open as a major experimental task, which is not easy to overcome. This study attempts to develop a fast and effective technique for recognizing this difficult type of written script by using an iterative algorithm to extract closed Arabic characters. Some Arabic characters have circles that may be blurred, incomplete, unformed, or distorted. In addition to ligatures with different shapes, the technique is based on the development of a proper Circular Hough Transform. This study used IFN/ENIT, which is a standard database for extracting closed Arabic characters as designed in classes. The first class is closed blurred circles ( .)ق, م , ع ,وThe second class is unformed circles ( .)ق, ع , ةThe third one is incomplete circles (ط , ظ, ص, ض , .)ه,ةFinally, the fourth class is distorted circles ( .) ط, ظThis methodology achieved an outstanding accuracy of approximately 96.67%, a very interesting work for the total four classes related to the 11 closed Arabic characters (out of the 28 characters of the Arabic alphabet).. | ||
| Keywords | ||
| Arabic closed characters; Circular Hough Transform; Handwritten recognition | ||
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