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Experimental evaluation of Arabic OCR systems

Author

Listed:
  • Mansoor Alghamdi
  • William Teahan

Abstract

Purpose - The aim of this paper is to experimentally evaluate the effectiveness of the state-of-the-art printed Arabic text recognition systems to determine open areas for future improvements. In addition, this paper proposes a standard protocol with a set of metrics for measuring the effectiveness of Arabic optical character recognition (OCR) systems to assist researchers in comparing different Arabic OCR approaches. Design/methodology/approach - This paper describes an experiment to automatically evaluate four well-known Arabic OCR systems using a set of performance metrics. The evaluation experiment is conducted on a publicly available printed Arabic dataset comprising 240 text images with a variety of resolution levels, font types, font styles and font sizes. Findings - The experimental results show that the field of character recognition for printed Arabic still requires further research to reach an efficient text recognition method for Arabic script. Originality/value - To the best of the authors’ knowledge, this is the first work that provides a comprehensive automated evaluation of Arabic OCR systems with respect to the characteristics of Arabic script and, in addition, proposes an evaluation methodology that can be used as a benchmark by researchers and therefore will contribute significantly to the enhancement of the field of Arabic script recognition.

Suggested Citation

  • Mansoor Alghamdi & William Teahan, 2017. "Experimental evaluation of Arabic OCR systems," PSU Research Review, Emerald Group Publishing Limited, vol. 1(3), pages 229-241, November.
    • Handle: RePEc:eme:prrpps:prr-05-2017-0026
    DOI: 10.1108/PRR-05-2017-0026
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