Tifinaghe Document Converter

  • Authors:

  • Mehdi Boutaounte;Driss Naji;M. Fakir;B. Bouikhalene;A. Merbouha

  • Affiliations:

  • Informations Processing and Telecommunication Teams, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco;Informations Processing and Telecommunication Teams, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco;Processing and Telecommunication Teams, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco;Processing and Telecommunication Teams, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco;Processing and Telecommunication Teams, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco

  • Venue:
  • International Journal of Computer Vision and Image Processing
  • Year:
  • 2013

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Abstract

Recognition of documents has become a basic necessity for two reasons: first to secure the existing data in paper because of the limited of their lives duration and the high rate of destruction insects, fire or humidity secondly to reduce space of archives. The aim of this work is to realize a converter that detects images and text within a document image taken by a scanner and applying a system for the recognition of characters OCR in order to obtain a web page HTML extension ready to be used in the same computer or on the web hosts to be accessible by everyone.