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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Improved Computer Vision-based Framework for Electronic Toll Collection</text>
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              <text>Automatic Toll Ticketing; License Plate Recognition; Siamese Network Architecture; Toll Plaza; Vehicle Fingerprinting; Vehicle Re-identification</text>
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              <text>The world is moving towards artificial intelligence and automation because time is the most crucial asset in today's scenario. This paper proposes an automatic vehicle fingerprinting system that avoids long waiting times in toll plazas with the help of computer vision. The number plate recognition and vehicle re-identification focus on this research. Day/night IR cameras are used to get the images of the vehicle and its number plate. The VeRi776 datum, which contains real-world vehicle images, is used to facilitate the research of vehicle re-identification. The proposed framework employs Siamese model architecture to identify the attributes such as color, model, and type of vehicle. The Car License Plate Detection datum is used to evaluate the efficiency of the proposed license plate recognition system. An ensemble of image localization techniques using CNNs and application of the OCR model on the localized snapshot is used to recognize the vehicle's license plate. A combination of license plate recognition and vehicle re-identification techniques is used in the proposed framework to improve the efficiency of identifying vehicles in toll plazas   2022 IEEE.</text>
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          <name>Creator</name>
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              <text>Mathews M.S.; Prabu M.; Pitchai A.; Roberts D.B.; Rahul G.</text>
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              <text>Proceedings of the Confluence 2022 - 12th International Conference on Cloud Computing, Data Science and Engineering, pp. 213-216.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/Confluence52989.2022.9734219" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/Confluence52989.2022.9734219&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127600404&amp;amp;doi=10.1109%2FConfluence52989.2022.9734219&amp;amp;partnerID=40&amp;amp;md5=b73a76452c80a09509718a851ddfe9f2" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127600404&amp;amp;doi=10.1109%2fConfluence52989.2022.9734219&amp;amp;partnerID=40&amp;amp;md5=b73a76452c80a09509718a851ddfe9f2&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166543701-1</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Mathews M.S., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Prabu M., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Pitchai A., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Roberts D.B., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Rahul G., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India</text>
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