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Middle Eastern Character Recognition

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Abstract

The purpose of this chapter is to give a rapid synthesis of the state of the art concerning Middle Eastern character recognition systems. This includes the presentation of the different scripts used, their characteristics, the techniques used especially for them, and the difficulties and challenges faced by researchers to treat them. The chapter will also make a rapid review of the best systems evaluated during international competitions, of published datasets specialized in these scripts, as well as of the list of existing commercial systems.

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Author information

Authors and Affiliations

  1. Université de Lorraine – LORIA, Vandœuvre-lès-Nancy, France

    Abdel Belaı̈d

  2. Department of Computer Science and Engineering, Air University, Islamabad, Pakistan

    Mohamed Imran Razzak

  3. College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

    Mohamed Imran Razzak

Authors
  1. Abdel Belaı̈d
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  2. Mohamed Imran Razzak
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Corresponding author

Correspondence to Abdel Belaı̈d .

Editor information

Editors and Affiliations

  1. University of Maryland, College Park, MD, USA

    David Doermann

  2. Université de Lorraine, Nancy, France

    Karl Tombre

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Belaı̈d, A., Razzak, M.I. (2014). Middle Eastern Character Recognition. In: Doermann, D., Tombre, K. (eds) Handbook of Document Image Processing and Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-859-1_13

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