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Information Retrieval System of Arabic Alphabetic Characters by Using Hidden Markov Model
(Institute of Electrical and Electronics Engineers Inc., 2022) Shaker, A.S.; Khaleel, M.F.; Ismael, O.A.; Majeed, R.S.; Ahmed, M.R.
In this paper, recognizing Arabic printed text is presented. A long time ago Recognizing the Arabic text has received great interest in information technology applications, as the Arabic language is among the different languages, and what distinguishes it from other languages is also shared by the Persian language and the ancient Turkish language (Ottoman) the difficulty of recognizing the letter because the letter has several forms in The beginning of the word and a shape in its middle and a shape at the end of the word. In languages other than the letters are written, the shape of the letter is one in the word, so it is easy to manipulate it through ready-made Optical Character Recognition (OCR) programs as letters A to Z. As a result, this study proposes a method for distinguishing Arabic printed text from other printed text. He's been looking forward to this moment for a long time. We demonstrate an off-line system that recognizes printed Arabic text by employing a Hidden Markov Model and an algorithm that divides the recognize reviews literature into sections and characters. © 2022 IEEE.