A real-time license plate recognition system for Saudi Arabia using LabVIEW

Y. K. Al-Audah; A. K. Al-Juraifani; M. A. Deriche

doi:10.1109/IPTA.2012.6469576

A real-time license plate recognition system for Saudi Arabia using LabVIEW

Y. K. Al-Audah^*
, A. K. Al-Juraifani
, M. A. Deriche

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

License Plate Recognition (LPR) systems play an important role in intelligent transportation applications. These systems have been extensively used in highway and bridge charge, ports, airports, gate monitoring, parking and toll applications, to mention a few. In this paper, we propose a real-time LPR system that uses the LabVIEW software and is based on the NI-Camera Vision System. The system adapts automatically to detect license plates from the GCC countries and identify both English & Arabic letters and Numerals. The system uses recently introduced LPs in Saudi Arabia to test the real-time operation. The system was tested using low-resolution images of just 640×480 pixels and achieved a success rate of 94% under optimal conditions. Most importantly, the processing time is under 40 ms/plate outperforming most existing systems which average around 100 ms/plate.

Original language	English
Title of host publication	2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012
Pages	160-164
Number of pages	5
DOIs	https://doi.org/10.1109/IPTA.2012.6469576
State	Published - 2012

Publication series

Name	2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/IPTA.2012.6469576

Cite this

Al-Audah, Y. K., Al-Juraifani, A. K., & Deriche, M. A. (2012). A real-time license plate recognition system for Saudi Arabia using LabVIEW. In 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012 (pp. 160-164). Article 6469576 (2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012). https://doi.org/10.1109/IPTA.2012.6469576

@inproceedings{190df9c4f8e14a9d819e168ac96f0a51,

title = "A real-time license plate recognition system for Saudi Arabia using LabVIEW",

abstract = "License Plate Recognition (LPR) systems play an important role in intelligent transportation applications. These systems have been extensively used in highway and bridge charge, ports, airports, gate monitoring, parking and toll applications, to mention a few. In this paper, we propose a real-time LPR system that uses the LabVIEW software and is based on the NI-Camera Vision System. The system adapts automatically to detect license plates from the GCC countries and identify both English \& Arabic letters and Numerals. The system uses recently introduced LPs in Saudi Arabia to test the real-time operation. The system was tested using low-resolution images of just 640×480 pixels and achieved a success rate of 94\% under optimal conditions. Most importantly, the processing time is under 40 ms/plate outperforming most existing systems which average around 100 ms/plate.",

author = "Al-Audah, \{Y. K.\} and Al-Juraifani, \{A. K.\} and Deriche, \{M. A.\}",

year = "2012",

doi = "10.1109/IPTA.2012.6469576",

language = "English",

isbn = "9781467325837",

series = "2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012",

pages = "160--164",

booktitle = "2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012",

}

Al-Audah, YK, Al-Juraifani, AK & Deriche, MA 2012, A real-time license plate recognition system for Saudi Arabia using LabVIEW. in 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012., 6469576, 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012, pp. 160-164. https://doi.org/10.1109/IPTA.2012.6469576

A real-time license plate recognition system for Saudi Arabia using LabVIEW. / Al-Audah, Y. K.; Al-Juraifani, A. K.; Deriche, M. A.
2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012. 2012. p. 160-164 6469576 (2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - License Plate Recognition (LPR) systems play an important role in intelligent transportation applications. These systems have been extensively used in highway and bridge charge, ports, airports, gate monitoring, parking and toll applications, to mention a few. In this paper, we propose a real-time LPR system that uses the LabVIEW software and is based on the NI-Camera Vision System. The system adapts automatically to detect license plates from the GCC countries and identify both English & Arabic letters and Numerals. The system uses recently introduced LPs in Saudi Arabia to test the real-time operation. The system was tested using low-resolution images of just 640×480 pixels and achieved a success rate of 94% under optimal conditions. Most importantly, the processing time is under 40 ms/plate outperforming most existing systems which average around 100 ms/plate.

AB - License Plate Recognition (LPR) systems play an important role in intelligent transportation applications. These systems have been extensively used in highway and bridge charge, ports, airports, gate monitoring, parking and toll applications, to mention a few. In this paper, we propose a real-time LPR system that uses the LabVIEW software and is based on the NI-Camera Vision System. The system adapts automatically to detect license plates from the GCC countries and identify both English & Arabic letters and Numerals. The system uses recently introduced LPs in Saudi Arabia to test the real-time operation. The system was tested using low-resolution images of just 640×480 pixels and achieved a success rate of 94% under optimal conditions. Most importantly, the processing time is under 40 ms/plate outperforming most existing systems which average around 100 ms/plate.

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M3 - Conference contribution

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Al-Audah YK, Al-Juraifani AK, Deriche MA. A real-time license plate recognition system for Saudi Arabia using LabVIEW. In 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012. 2012. p. 160-164. 6469576. (2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012). doi: 10.1109/IPTA.2012.6469576

A real-time license plate recognition system for Saudi Arabia using LabVIEW

Abstract

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UN SDGs

ASJC Scopus subject areas

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