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Arabic Character Extraction and Recognition using
The intention behind this research is to present an original work undertaken for Arabic character extraction and
recognition for attaining higher percentage of recognition rate. Copious techniques for character, text extraction were
proposed in earlier decades, but very few of them shed light on Arabic character set. From literature survey, it was found that
100% recognition rate is not attained by earlier proposed implementations. The proposed technique is novel and is based on
traversing of the characters in a given text and marking their directions viz. North-South (NS), East-West (EW), North East-
South West (NE-SW), North West-South East (NW-SE) etc., in an array and comparing them with the pre-defined codes of
every character in the dataset. The experiments were conducted on Arabic news videos, documents taken from Arabic Printed
Text Image (APTI) database and the results achieved from this research are very promising with a recognition rate of 98.1%.
The proposed algorithm in this research work can replace the existing algorithms used in present Arabic Optical Character
Recognition (AOCR) systems.
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[28] Zhang J., Extraction of Text Objects in Image and Video Documents, Thesis, University of South Florida, 2012. Abdul Khader Saudagar received his Bachelor of Engineering B.E, Master of Technology M. Tech and Doctor of Philosophy PhD in Computer Science & Engineering in 2001, 2006 and 2010 respectively. His areas of interests are: Artificial Image Processing, E-Commerce, Information Technology, Databases, Web and Mobile Application Development. He has 6 years of teaching experience at both undergraduate (UG) and postgraduate (PG) level and presently working as Assistant Professor in Department of Information Systems, College of Computer & Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, The Kingdom of Saudi Arabia. Dr. Saudagar has published a number of research papers in National, International Conferences and International Journals. He is associated as member with various professional bodies like IACSIT, IAENG, ISTE etc., and working as Editorial Board member, Reviewer for many international Journals. Habeeb Mohammed working as a lecturer in Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University , Riyadh, The Kingdom of Saudi Arabia. He completed M.C.A (Master of Computer Applications) in 1999. He has 15 years of teaching experience and a certified Java Professional.