| Field |
Value |
Language |
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dc.contributor.author |
Pal, U |
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dc.contributor.author |
Halder, A
https://orcid.org/0000-0002-8834-8022
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dc.contributor.author |
Shivakumara, P |
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dc.contributor.author |
Blumenstein, M
https://orcid.org/0000-0002-9908-3744
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dc.date.accessioned |
2025-05-07T07:44:44Z |
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dc.date.available |
2025-05-07T07:44:44Z |
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dc.identifier.citation |
Artificial Intelligence and Applications, 2, (4), pp. 257-277 |
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dc.identifier.issn |
2374-4979 |
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dc.identifier.issn |
2811-0854 |
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dc.identifier.uri |
http://hdl.handle.net/10453/187238
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|
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dc.description.abstract |
<jats:p>Detecting and recognizing text in natural scene images and videos is vital for several real-world applications, such as in the analysis of Crime scene CCTV footage, sports videos, and autonomous driving, to name a few. Therefore, one can expect several challenges, namely arbitrarily oriented and shaped text detection and identification in movies and natural environments. Many methods have been developed in the past to address these challenges, including advanced deep-learning models and transformers. Due to several methods available in the literature, it is not so easy to understand the open challenges, applications, directions, scope, limitations, and weaknesses of the methods. Therefore, there is a need to write a survey/review to highlight and discuss the strengths and weaknesses of the developed methods. This survey/review presents different categories of work and discusses their importance, limitations, new challenges, applications, and, finally, directions such that readers can choose appropriate methods and directions to carry out research work in the field of text detection/recognition in the natural scene and videos.</jats:p> |
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dc.language |
en |
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dc.publisher |
BON VIEW PUBLISHING PTE |
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dc.relation.ispartof |
Artificial Intelligence and Applications |
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dc.relation.isbasedon |
10.47852/aia42022755 |
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dc.rights |
info:eu-repo/semantics/openAccess |
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dc.title |
A Comprehensive Review on Text Detection and Recognition in Scene Images |
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dc.type |
Journal Article |
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utslib.citation.volume |
2 |
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pubs.organisational-group |
University of Technology Sydney |
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pubs.organisational-group |
University of Technology Sydney/Faculty of Engineering and Information Technology |
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pubs.organisational-group |
University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science |
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pubs.organisational-group |
University of Technology Sydney/UTS Groups |
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pubs.organisational-group |
University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII) |
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pubs.organisational-group |
University of Technology Sydney/UTS Groups/Transport Research Centre (TRC) |
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pubs.organisational-group |
University of Technology Sydney/UTS Groups/Transport Research Centre (TRC)/Transport Research Centre (TRC) Associate Members |
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pubs.organisational-group |
University of Technology Sydney/DVC (External Engagement & Partnerships) |
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utslib.copyright.status |
open_access |
* |
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dc.rights.license |
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ |
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dc.date.updated |
2025-05-07T07:44:42Z |
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pubs.issue |
4 |
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pubs.publication-status |
Published online |
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pubs.volume |
2 |
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|
utslib.citation.issue |
4 |
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