Scene Text Recognition: A Review

Authors

  • Essam Haider Mageed Department of computer science, college of computer science and mathematics, university of kufa , Najaf , Iraq
  • Nidhal Khdhair El Abbadi Department of computer science, Collage of education, university of kufa, Najaf, Iraq

DOI:

https://doi.org/10.24996/ijs.2023.64.1.37

Keywords:

text detection, text localization, text enhancement, segmentation, OCR

Abstract

      The problem of text recognition and its applicability as part of images captured in the wild has gained a significant attention from the computer vision community in recent years. In contrast to the recognition of printed documents, scene text recognition is a difficult problem. Contrary to recognition of printed documents, recognizing a scene text is a challenging problem. Many researches focus on the problem of recognizing text extracted from natural scene images. Significant attempts have been made to address this problem in recent past. However, many of these attempts work on utilizing availability of strong context, which naturally limits the dictionary. This paper presents a review of recent papers related to scene text recognition in the period (2013-2020). This paper helps other researchers to understand the whole system of scene text recognition instead of reading many papers in isolation.

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Published

2023-01-30

Issue

Section

Computer Science

How to Cite

Scene Text Recognition: A Review. (2023). Iraqi Journal of Science, 64(1), 405-418. https://doi.org/10.24996/ijs.2023.64.1.37

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