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Automatic number plate recognition on electronic toll collection systems for Vietnamese conditions

Published: 08 January 2015 Publication History

Abstract

Due to unlimited increase of cars and transportation systems, a real time embedded system called Automatic Number Plate Recognition (ANPR) is very important for humans to detect and manage. This paper presents results of developing and deploying an ANPR applied to electronic tolling collection (ETC) systems in Vietnam with some special issues. Our model is designed and investigated by using a VIVOTEK IP8361 camera to capture an image. After that, the image is transmitted to an industrial computer to process. In detail, the image is processed first to reduce noise and artifacts by a low-pass filter before our software detects plate candidates. The characters in the candidates are then extracted by an optical character recognition utilizing neural network. We also employ Microsoft visual C sharp integrated development environment to build graphical user interface. Experimental results manifest the high accuracy of our method achieving approximately 85.00% and the processing time of only about 20--30ms.

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Cited By

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  • (2024)Towards intelligent transportation system: A comprehensive review of electronic toll collection systemsIET Intelligent Transport Systems10.1049/itr2.1250018:6(965-983)Online publication date: 10-Mar-2024
  • (2019)Payment Authorization in Smart Environments: Security-Convenience BalanceEnterprise Information Systems10.1007/978-3-030-26169-6_4(58-81)Online publication date: 28-Jul-2019
  • (2016)An Efficient Approach for Automatic Number Plate Recognition for Low Resolution ImagesProceedings of the Fifth International Conference on Network, Communication and Computing10.1145/3033288.3033332(53-57)Online publication date: 17-Dec-2016

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cover image ACM Conferences
IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication
January 2015
674 pages
ISBN:9781450333771
DOI:10.1145/2701126
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 08 January 2015

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Author Tags

  1. automatic number plate recognition
  2. license plate
  3. neural network model
  4. optical character recognition

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  • Research-article

Funding Sources

  • Vietnam Ministry of Science and Technology (MOST)
  • National Research Foundation of Korea (NRF)

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IMCOM '15
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Overall Acceptance Rate 213 of 621 submissions, 34%

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Cited By

View all
  • (2024)Towards intelligent transportation system: A comprehensive review of electronic toll collection systemsIET Intelligent Transport Systems10.1049/itr2.1250018:6(965-983)Online publication date: 10-Mar-2024
  • (2019)Payment Authorization in Smart Environments: Security-Convenience BalanceEnterprise Information Systems10.1007/978-3-030-26169-6_4(58-81)Online publication date: 28-Jul-2019
  • (2016)An Efficient Approach for Automatic Number Plate Recognition for Low Resolution ImagesProceedings of the Fifth International Conference on Network, Communication and Computing10.1145/3033288.3033332(53-57)Online publication date: 17-Dec-2016

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