A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates
License plate localization is the process of finding the license plate area and drawing a bounding box around it, while recognition is the process of identifying the text within the bounding box. The current state-of-the-art license plate localization and recognition approaches require license plate...
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MDPI AG
2021
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oai:doaj.org-article:2b048a90b7e54b048658e80c075dbee02021-11-25T18:58:38ZA Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates10.3390/s212276961424-8220https://doaj.org/article/2b048a90b7e54b048658e80c075dbee02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7696https://doaj.org/toc/1424-8220License plate localization is the process of finding the license plate area and drawing a bounding box around it, while recognition is the process of identifying the text within the bounding box. The current state-of-the-art license plate localization and recognition approaches require license plates of standard size, style, fonts, and colors. Unfortunately, in Pakistan, license plates are non-standard and vary in terms of the characteristics mentioned above. This paper presents a deep-learning-based approach to localize and recognize Pakistani license plates with non-uniform and non-standardized sizes, fonts, and styles. We developed a new Pakistani license plate dataset (PLPD) to train and evaluate the proposed model. We conducted extensive experiments to compare the accuracy of the proposed approach with existing techniques. The results show that the proposed method outperformed the other methods to localize and recognize non-standard license plates.Umair YousafAhmad KhanHazrat AliFiaz Gul KhanZia ur RehmanSajid ShahFarman AliSangheon PackSafdar AliMDPI AGarticleCNNdeep learninglicense platelocalizationrectificationrecognitionChemical technologyTP1-1185ENSensors, Vol 21, Iss 7696, p 7696 (2021) |
| institution |
DOAJ |
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DOAJ |
| language |
EN |
| topic |
CNN deep learning license plate localization rectification recognition Chemical technology TP1-1185 |
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CNN deep learning license plate localization rectification recognition Chemical technology TP1-1185 Umair Yousaf Ahmad Khan Hazrat Ali Fiaz Gul Khan Zia ur Rehman Sajid Shah Farman Ali Sangheon Pack Safdar Ali A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates |
| description |
License plate localization is the process of finding the license plate area and drawing a bounding box around it, while recognition is the process of identifying the text within the bounding box. The current state-of-the-art license plate localization and recognition approaches require license plates of standard size, style, fonts, and colors. Unfortunately, in Pakistan, license plates are non-standard and vary in terms of the characteristics mentioned above. This paper presents a deep-learning-based approach to localize and recognize Pakistani license plates with non-uniform and non-standardized sizes, fonts, and styles. We developed a new Pakistani license plate dataset (PLPD) to train and evaluate the proposed model. We conducted extensive experiments to compare the accuracy of the proposed approach with existing techniques. The results show that the proposed method outperformed the other methods to localize and recognize non-standard license plates. |
| format |
article |
| author |
Umair Yousaf Ahmad Khan Hazrat Ali Fiaz Gul Khan Zia ur Rehman Sajid Shah Farman Ali Sangheon Pack Safdar Ali |
| author_facet |
Umair Yousaf Ahmad Khan Hazrat Ali Fiaz Gul Khan Zia ur Rehman Sajid Shah Farman Ali Sangheon Pack Safdar Ali |
| author_sort |
Umair Yousaf |
| title |
A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates |
| title_short |
A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates |
| title_full |
A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates |
| title_fullStr |
A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates |
| title_full_unstemmed |
A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates |
| title_sort |
deep learning based approach for localization and recognition of pakistani vehicle license plates |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/2b048a90b7e54b048658e80c075dbee0 |
| work_keys_str_mv |
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| _version_ |
1718410453068021760 |