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Text in a Wild and Its Challenges

  • Saad Bin AhmedEmail author
  • Muhammad Imran Razzak
  • Rubiyah Yusof
Chapter

Abstract

This chapter discusses the challenges encountered during recognition of wild text image. The challenges have been defined in detail with reference to the recent years’ publications in this field. Since decades, the interest shift of researchers has been witnessed from recognition of optical characters to recognition of characters appeared in natural images. Scene text recognition is a challenging problem due to the text having variations in font styles, size, alignment, orientation, reflection, illumination change, blurriness, and complex background. Among cursive scripts, Arabic scene text recognition is contemplated as a more challenging problem due to joined writing, same character variations, large number of ligatures and number of baselines, etc. The study on Latin and Chinese script-based scene text recognition system can be found but Arabic and Arabic-like scene text recognition problem is yet to be addressed in detail. The issues pertaining to text localization and feature extraction are also highlighted. Moreover, this chapter emphasized the importance of having benchmark cursive scene text dataset.

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Saad Bin Ahmed
    • 1
    • 3
    Email author
  • Muhammad Imran Razzak
    • 2
  • Rubiyah Yusof
    • 3
  1. 1.King Saud bin Abdulaziz University for Health SciencesRiyadhSaudi Arabia
  2. 2.School of Information TechnologyDeakin UniversityGeelongAustralia
  3. 3.Malaysia-Japan International Institute of Technology (M-JIIT)University of Technology MalaysiaKuala LumpurMalaysia

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