• ISSN: 2010-0248
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2014 Vol.5(6): 465-469 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2014.V5.560

OCR-Based Electronic Documentation Management System

Khalaf S. Alkhalaf, Abdulelah I. Almishal, Anas O. Almahmoud, and Majed S. Alotaibi
Abstract— Optical character recognition (OCR) is one of the latest technologies adopted in a lot of areas such as management, business, criminal and social networks. It consists of recognizing image-based characters and transforming them to real digital character that can be editing, written and displayed. In this paper we will demonstrate our experience on utilizing OCR technology to recognize some key information in selected management documents in Arabic language. In addition, this paper will discover the literature about OCR, address some challenges and share some important lessons with suggested research ideas that can be conducted in the feature.

Index Terms— Ocr, text-recognition, business automation, Arabic text-recognistion.

Khalaf S. Alkhalaf and Abdulelah I. Almishal are with the Computer Science Department, College of Computer Sciences and Information, Qassim University, Qassim Saudi Arabia (e-mail: kalkhalaf@kacst.edu.sa, aalmishal@kacst.edu.sa).
Anas O. Almahmoud is with George Mason University, United States. Majed S. Alotaibi is with King Abdulaziz City, on leave from University of Jordan, Saudi Arabia.


Cite: Khalaf S. Alkhalaf, Abdulelah I. Almishal, Anas O. Almahmoud, and Majed S. Alotaibi, " OCR-Based Electronic Documentation Management System," International Journal of Innovation, Management and Technology vol. 5, no. 6, pp. 465-469, 2014.

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