License plate recognition system

M. J. Ahmed; M. Sarfaz; A. Zidouri; K. G. AI-Khatib

doi:10.1109/ICECS.2003.1301932

License plate recognition system

M. J. Ahmed, M. Sarfaz, A. Zidouri, K. G. AI-Khatib

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

54 Scopus citations

Abstract

License Plate recognition (LPR) system is a key to many traffic related applications such as road traffic monitoring or parking lots access control. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system presents an algorithm for the extraction of license plate and segmentation of characters. Recognition is done using template matching. However the proposed work seems to be the first attempt towards the recognition of Saudi Arabian license plates. The performance of the system has been investigated on real images of ahout 710 vehicles captured under various illumination conditions. Recognition of about 96% shows that the system is quite efficient.

Original language	English
Title of host publication	ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages	898-901
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2003.1301932
State	Published - 2003

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	2

ASJC Scopus subject areas

Electrical and Electronic Engineering

UN SDGs

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

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10.1109/ICECS.2003.1301932

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Ahmed, M. J., Sarfaz, M., Zidouri, A., & AI-Khatib, K. G. (2003). License plate recognition system. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (pp. 898-901). Article 301932 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2). https://doi.org/10.1109/ICECS.2003.1301932

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title = "License plate recognition system",

abstract = "License Plate recognition (LPR) system is a key to many traffic related applications such as road traffic monitoring or parking lots access control. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system presents an algorithm for the extraction of license plate and segmentation of characters. Recognition is done using template matching. However the proposed work seems to be the first attempt towards the recognition of Saudi Arabian license plates. The performance of the system has been investigated on real images of ahout 710 vehicles captured under various illumination conditions. Recognition of about 96\% shows that the system is quite efficient.",

author = "Ahmed, \{M. J.\} and M. Sarfaz and A. Zidouri and AI-Khatib, \{K. G.\}",

year = "2003",

doi = "10.1109/ICECS.2003.1301932",

language = "English",

isbn = "0780381637",

series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",

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booktitle = "ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems",

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License plate recognition system. / Ahmed, M. J.; Sarfaz, M.; Zidouri, A. et al.
ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 898-901 301932 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2).

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

TY - GEN

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AU - Sarfaz, M.

AU - Zidouri, A.

AU - AI-Khatib, K. G.

PY - 2003

Y1 - 2003

N2 - License Plate recognition (LPR) system is a key to many traffic related applications such as road traffic monitoring or parking lots access control. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system presents an algorithm for the extraction of license plate and segmentation of characters. Recognition is done using template matching. However the proposed work seems to be the first attempt towards the recognition of Saudi Arabian license plates. The performance of the system has been investigated on real images of ahout 710 vehicles captured under various illumination conditions. Recognition of about 96% shows that the system is quite efficient.

AB - License Plate recognition (LPR) system is a key to many traffic related applications such as road traffic monitoring or parking lots access control. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system presents an algorithm for the extraction of license plate and segmentation of characters. Recognition is done using template matching. However the proposed work seems to be the first attempt towards the recognition of Saudi Arabian license plates. The performance of the system has been investigated on real images of ahout 710 vehicles captured under various illumination conditions. Recognition of about 96% shows that the system is quite efficient.

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U2 - 10.1109/ICECS.2003.1301932

DO - 10.1109/ICECS.2003.1301932

M3 - Conference contribution

AN - SCOPUS:24944538928

SN - 0780381637

SN - 9780780381636

T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

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BT - ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems

ER -

License plate recognition system

Abstract

Publication series

ASJC Scopus subject areas

UN SDGs

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