Handheld devices are flooding the market, and their use is becoming essential among people. Hence, the need for fast and accurate character recognition methods that ease the data entry process for users arises. There are many methods developed for handwriting character recognition especially for Latin-based languages. On the other hand, character recognition methods for Arabic language are lacking and rare. The Arabic language has many traits that differentiate it from other languages: first, the writing process is from right to left; second, the letter changes shape according to the position in the work; and third, the writing is cursive. Such traits compel to produce a special character recognition method that helps in producing applications for Arabic language. This research proposes a deterministic algorithm that recognizes Arabic alphabet letters. The algorithm is based on four categorizations of Arabic alphabet letters. Then, the research suggested a deterministic algorithm composed of 34 rules that can predict the character based on the use of all of categorizations as attributes assembled in a matrix for this purpose.
| First name | Last name | Gender | Rank | Affiliated Institution | Country |
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| Evon | Abu-Taieh | Female | Associate Professor | University of Jordan | Jordan |
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Bio: Evon Mohammed Odeh Abu Taieh (Associate Professor ) was Dean of the Faculty of Information Technology at the University of Jordan - Aqaba branch for 3 years . She studied computer science in the United States for Bachelor , Master degrees and received her doctorate from Jordan. She served in the public sector 29 years in various locations , including three years as Economic commissioner for air transport in the Jordanian Aviation Authority and the Director of the Directorate of Information Technology at the Ministry of Transport . With over 48 scientific research published in the United States in computer science and four research he wrote in the same field. Member of editorial broad of many renowned Academic Research Journals. |
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Engineering and technology
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