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Artificial Intelligence Review
Published in: Artificial Intelligence Review 12/2023

18-06-2023

Scene text understanding: recapitulating the past decade

Authors: Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, Xiao-Zhi Gao, Kaushik Roy

Published in: Artificial Intelligence Review | Issue 12/2023

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Abstract

Computational perception has indeed been dramatically modified and reformed from handcrafted feature-based techniques to the advent of deep learning. Scene text identification and recognition have inexorably been touched by this bow effort of upheaval, ushering in the period of deep learning. It is an important aspect of machine vision. Society has seen significant improvements in thinking, approach, and effectiveness over time. The goal of this study is to summarize and analyze the important developments and notable advancements in scene text identification and recognition over the past decade. We have discussed the significant handcrafted feature-based techniques which had been regarded as flagship systems in the past. They were succeeded by deep learning-based techniques. We have discussed such approaches from their inception to the development of complex models which have taken scene text identification to the next stage.
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Footnotes
1
http://​www.​freeocr.​net/​ as visited on 01.11.2022.
 
2
https://​www.​simpleocr.​com/​ as visited on 01.11.2022.
 
3
 
4
https://​easyscreenocr.​com/​ as visited on 01.11.2022.
 
6
https://​pdf.​abbyy.​com/​ as visited on 01.11.2022.
 
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Metadata
Title
Scene text understanding: recapitulating the past decade
Authors
Mridul Ghosh
Himadri Mukherjee
Sk Md Obaidullah
Xiao-Zhi Gao
Kaushik Roy
Publication date
18-06-2023
Publisher
Springer Netherlands
Published in
Artificial Intelligence Review / Issue 12/2023
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-023-10530-3

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