Optical Character Recognition For Arabic Language Using Neural Network

نویسندگان

  • Abdelkarim Mars
  • Georges Antoniadis
چکیده

As part of the DocumentToText project, which is being piloted by TIME University and Horizon data society, we are working to develop an Optical Character Recognition engine to convert all scanned books that exist in Tunisian University into editable textual documents . In this article we present our approach for the development of an OCR system as well as the presentation of the utility of using the artificial neural networks for Arabic characters. We will present the realization context, our point of view on the particularity of the Arabic language with regard to the literature and finally the reasons that have governed the decisions taken in the steps of the realization.

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تاریخ انتشار 2017