Multifont arabic characters recognition using houghtransform and neural networks

  • Authors:

  • Nadia Ben Amor;Najoua Essoukri Ben Amara

  • Affiliations:

  • Laboratory of Systems and Signal Processing (LSTS), National Engineering School of Tunis (ENIT), Tunisia;Laboratory of Systems and Signal Processing (LSTS), National Engineering School of Sousse (ENISo), Tunisia

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
  • Year:
  • 2006

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Abstract

Pattern recognition is a well-established field of study and Optical Character Recognition (OCR) has long been seen as one of its important contributions. However, Arabic has been one of the last major languages to receive attention. This paper describes the performance of an approach combining Hough transform in features extraction and Neural Networks in classification. Experimental tests have been carried out on a set of 85.000 samples of characters corresponding to5 different fonts. Some promising experimental results are reported.