Arabic and farsi font recognition: Survey

Hamzah Luqman, Sabri A. Mahmoud*, Sameh Awaida

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Font Recognition (FR) is useful in improving optical text recognition accuracy and time. In addition, it can be used to restore the original document text fonts, styles and sizes. In this paper, we survey the literature of Arabic and Farsi FR research and used databases. The main phases of FR systems are surveyed (viz. preprocessing, classification techniques and used features). All published work of Arabic and Farsi FR, which the authors are aware of, are surveyed. To our knowledge, this is the first survey of Arabic/Farsi FR and used databases. In addition, the paper addresses the strengths and limitations of the presented techniques and specified areas of research that are not, so far, addressed in Arabic/Farsi FR as well as areas of possible improvement.

Original languageEnglish
Article number1553002
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume29
Issue number1
DOIs
StatePublished - 16 Feb 2015

Bibliographical note

Publisher Copyright:
© 2015 World Scientific Publishing Company.

Keywords

  • Arabic font databases
  • Arabic font recognition
  • Farsi font recognition
  • classification
  • feature extraction

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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