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Printed Arabic Text Recognition

  • Chapter
Guide to OCR for Arabic Scripts

Abstract

This chapter addresses automatic printed Arabic text recognition. Arabic text recognition has its own difficulties due to the cursive nature of the scripts, overlapping characters, large number of dots and diacritics, etc. In this chapter, we present a general framework for a printed Arabic text recognition system. We then discuss different phases of such a system, e.g., pre-processing, feature extraction, and classification. We present different reported techniques for each phase. In addition, different databases for printed Arabic text recognition are discussed here. We conclude this chapter by presenting several experimental results for hidden Markov model (HMM)-based printed Arabic text recognition.

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Authors and Affiliations

  1. Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    Irfan Ahmed, Sabri A. Mahmoud & Mohammed Tanvir Parvez

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  1. Irfan Ahmed
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  2. Sabri A. Mahmoud
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  3. Mohammed Tanvir Parvez
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Correspondence to Irfan Ahmed .

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  1. Institute for Communications Technology, Braunschweig Technical University, Schleinitzstraße 22, Braunschweig, 38106, Niedersachsen, Germany

    Volker Märgner

  2. Institute for Communications Technology, Braunschweig Technical University, Schleinitzstraße 22, Braunschweig, 38106, Niedersachsen, Germany

    Haikal El Abed

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Ahmed, I., Mahmoud, S.A., Parvez, M.T. (2012). Printed Arabic Text Recognition. In: Märgner, V., El Abed, H. (eds) Guide to OCR for Arabic Scripts. Springer, London. https://doi.org/10.1007/978-1-4471-4072-6_7

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  • DOI: https://doi.org/10.1007/978-1-4471-4072-6_7

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