Online Recognition Approach of Arabic Numerals Using Matching Alignment Algorithm
International Journal of Data Science and Analysis
Volume 2, Issue 2, December 2016, Pages: 37-41
Received: Sep. 19, 2016;
Accepted: Dec. 14, 2016;
Published: Jan. 10, 2017
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Mustafa Ali Abuzaraida, Computer Science Department, Faculty of Information Technology, Misurata University, Misurata, Libya
Akram M. Zeki, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Kuala Lumpur, Malaysia
Ahmed M. Zeki, Department of Information Systems, College of Information Technology University of Bahrain, Sakhir, Kingdom of Bahrain
Online text recognition systems have been continually given due importance these days globally because of the rapidly developing touch screen gadgets. However, it has been difficult to utilize keyboards and external mouse-like inputs in significantly tinier devices which consequently paved the way to current researched based scientists to look for some newer techniques which could design such type of online systems which could further deal with different kinds of texts for example, digits, symbols and alphabets. In the present paper, an online system for recognizing manually written Arabic numerals is being given. This paper will show digit acquisition, preprocessing, feature extraction and recognition phases in detail. The set of the data was gathered from 100 writers using a touch screen PC with 100 samples of every digit. The average accuracy rate of the outcome of the test of this proposed system was 98%, which is a significant accuracy rate.
Mustafa Ali Abuzaraida,
Akram M. Zeki,
Ahmed M. Zeki,
Online Recognition Approach of Arabic Numerals Using Matching Alignment Algorithm, International Journal of Data Science and Analysis.
Vol. 2, No. 2,
2016, pp. 37-41.
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