• Jun 14, 2017 News!Vol.8, No.5 has been indexed by EI (Inspec).   [Click]
  • Jul 19, 2017 News!Vol.9, No.4 has been published with online version. 16 peer reviewed articles from 16 specific areas are published in this issue.   [Click]
  • Jun 14, 2017 News!Vol.9, No.3 has been published with online version. 15 peer reviewed articles from 8 specific areas are published in this issue.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(2): 264-268 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.150

New Morphology-Based Method for RobustIranian Car Plate Detection and Recognition

S. Hamidreza Kasaei, S. Mohammadreza Kasaei, S. Alireza Kasaei

Abstract—Persian License Plate Detection and Recognition System is an image-processing technique used to identify avehicle by its license plate. In fact this system is one kind of automatic inspection of transport, traffic and security systems and is of considerable interest because of its potential applications to areas such as automatic toll collection, traffic law enforcement and security control of restricted areas. License plate location is an important stage in vehicle license plate recognition for automated transport system. This paper presents a real time and robust method of license plate detection and recognition based on the morphology and template matching. In this system main stage is the isolation of the license plate, from the digital image of the car obtained by a digital camera under different circumstances such as illumination, slop, distance, and angle. The algorithm starts with preprocessing and signal conditioning. Next license plate is localized using morphological operators. Then a template matching scheme will be used to recognize the digits and characters within the plate. The system is tested on Iranian car plate images, and the performance was 97.3% of correct plates identification and localization and 92% of correct recognized characters. The results regarding the complexity of the problem and diversity of the test cases show the high accuracy and robustness of the proposed method. The method could also be applicable for other applications in the transport information systems, where automatic recognition of registration plates, shields, signs, and so on is often necessary.

Index Terms—License Plate Recognition, Character Recognition, Object Localization, Transport Information Systems, Segmentation.

Seyed Hamidreza Mohades Kasaei is with the Institute of Robotics and Intelligent Systems, from Islamic Azad University- Khorasgan branch, Isfahan Iran. (Phone: +989133048469; fax: +983112613033; e-mail: H.Kasaee@ Khuisf.ac.ir, Hamidreza_kasaee@Yahoo.com).
Seyed Mohmmadreza Mohades Kasaei is with the Institute of Roboticsand Intelligent Systems, from Islamic Azad University- Khorasgan branch, Isfahan Iran. (Phone: +989131264512; fax: +983112613033; e-mail: M.Kasaee@ Khuisf.ac.ir, MREZAMK2005@Yahoo.com).

[PDF]

Cite: S. Hamidreza Kasaei, S. Mohammadreza Kasaei, S. Alireza Kasaei, "New Morphology-Based Method for Robust Iranian Car Plate Detection and Recognition," International Journal of Computer Theory and Engineering vol. 2, no. 2, pp. 264-268, 2010.

Copyright © 2008-2015. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@vip.163.com