Recognition of Arabic license plates using NN

Abdelmalek Zidouri; Mohammed Deriche

doi:10.1109/IPTA.2008.4743757

Recognition of Arabic license plates using NN

Abdelmalek Zidouri^*
, Mohammed Deriche

^*Corresponding author for this work

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

8 Scopus citations

Abstract

License Plate Recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads [1]. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.

Original language	English
Title of host publication	2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008
DOIs	https://doi.org/10.1109/IPTA.2008.4743757
State	Published - 2008

Publication series

Name	2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008

UN SDGs

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

SDG 11 Sustainable Cities and Communities

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Software

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10.1109/IPTA.2008.4743757

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@inproceedings{a88b2ec9997c4411b12c73a956c728bc,

title = "Recognition of Arabic license plates using NN",

abstract = "License Plate Recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads [1]. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.",

author = "Abdelmalek Zidouri and Mohammed Deriche",

year = "2008",

doi = "10.1109/IPTA.2008.4743757",

language = "English",

isbn = "9781424433223",

series = "2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008",

booktitle = "2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008",

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Recognition of Arabic license plates using NN. / Zidouri, Abdelmalek; Deriche, Mohammed.
2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008. 2008. 4743757 (2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008).

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

TY - GEN

T1 - Recognition of Arabic license plates using NN

AU - Zidouri, Abdelmalek

AU - Deriche, Mohammed

PY - 2008

Y1 - 2008

N2 - License Plate Recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads [1]. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.

AB - License Plate Recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads [1]. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.

UR - https://www.scopus.com/pages/publications/62949092992

U2 - 10.1109/IPTA.2008.4743757

DO - 10.1109/IPTA.2008.4743757

M3 - Conference contribution

AN - SCOPUS:62949092992

SN - 9781424433223

T3 - 2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008

BT - 2008 1st International Workshops on Image Processing Theory, Tools and Applications, IPTA 2008

ER -

Recognition of Arabic license plates using NN

Abstract

Publication series

UN SDGs

ASJC Scopus subject areas

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