Fast Technique to Recognize Closed Characters in Arabic Handwriting

Document Type : Original Article

Author

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)..

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MSA Engineering Journal
Volume 2, Issue 2 - Serial Number 6
Special issue for Artificial Intelligence & Sustainable Engineering Conference: A Path to The Future
March 2023
Pages 1048-1061

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