Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review
Automatic vehicle identification; Automation; Deep learning; Optical character recognition; Arabic characters; Artificial intelligent; Deep learning; Identification accuracy; Learning approach; Learning methods; Learning techniques; Middle East; Performance; Vehicle license plate recognition; Licens...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-260372023-05-29T17:06:15Z Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review Alkawsi G. Baashar Y. Alkahtani A.A. Kiong T.S. Habeeb D. Aliubari A. 57191982354 56768090200 55646765500 57216824752 57219414936 57283147900 Automatic vehicle identification; Automation; Deep learning; Optical character recognition; Arabic characters; Artificial intelligent; Deep learning; Identification accuracy; Learning approach; Learning methods; Learning techniques; Middle East; Performance; Vehicle license plate recognition; License plates (automobile) Automatic vehicle identification via its license plate is proven to be a valuable solution for smart transportation and smart city applications. The most recent studies explore the implementation of deep learning techniques to improve the license plate recognition performance concerning the challenges and difficulties associated with license plates, such as languages, fonts, distortions, hazardous situations, and blurriness and illumination diversions. In many Middle East countries, vehicle plates include letters, numbers, and city names written in Arabic. Many deep learning approaches have been conducted to improve identification accuracy, with many performance issues. This study reviews the current deep learning methods used in the automatic identification system of such license plates, focusing on the process of deduction, segmentation, and recognition. Methods were analyzed and compared based on applied attributes, strengths, weaknesses, and recognition performance. The paper aims to highlight the research gaps in this area and give some insights into filling them by providing all the related information and proposing new ideas to develop the research further. � 2021 IEEE. Final 2023-05-29T09:06:15Z 2023-05-29T09:06:15Z 2021 Conference Paper 10.1109/ICCSCE52189.2021.9530940 2-s2.0-85116204647 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116204647&doi=10.1109%2fICCSCE52189.2021.9530940&partnerID=40&md5=d14eec39371472847409a8d448186a6a https://irepository.uniten.edu.my/handle/123456789/26037 75 79 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Automatic vehicle identification; Automation; Deep learning; Optical character recognition; Arabic characters; Artificial intelligent; Deep learning; Identification accuracy; Learning approach; Learning methods; Learning techniques; Middle East; Performance; Vehicle license plate recognition; License plates (automobile) |
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57191982354 |
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57191982354 Alkawsi G. Baashar Y. Alkahtani A.A. Kiong T.S. Habeeb D. Aliubari A. |
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Conference Paper |
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Alkawsi G. Baashar Y. Alkahtani A.A. Kiong T.S. Habeeb D. Aliubari A. |
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Alkawsi G. Baashar Y. Alkahtani A.A. Kiong T.S. Habeeb D. Aliubari A. Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review |
author_sort |
Alkawsi G. |
title |
Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review |
title_short |
Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review |
title_full |
Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review |
title_fullStr |
Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review |
title_full_unstemmed |
Arabic Vehicle Licence Plate Recognition Using Deep Learning Methods: Review |
title_sort |
arabic vehicle licence plate recognition using deep learning methods: review |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
_version_ |
1806425703128760320 |
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13.214268 |