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Automatic parking management system and parking fee collection based on number plate recognition

Rashid, Muhammad Mahbubur and A., Musa and M, Ataur Rahman and A, Farahana and A., Farhana (2012) Automatic parking management system and parking fee collection based on number plate recognition. International Journal of Machine Learning and Computing (IJMLC), 2 (2). pp. 93-98. ISSN 2010-3700

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Abstract

This paper discussed on automatic parking system and electronic parking fee collection based on vehicle number plate recognition. The aim of this research is to develop and implement an automatic parking system that will increase convenience and security of the public parking lot as well as collecting parking fee without hassles of using magnetic card. The auto parking system will able to have less interaction of humans and use no magnetic card and its devices. In additions to that, it has parking guidance system that can show and guide user towards a parking space. The system used image processing of recognizing number plates for operation of parking and billing system. Overall, the systems run with pre-programmed controller to make minimum human involvement in parking system and ensure access control in restricted places. This paper presents algorithm technology based method for license plate extraction from car images followed by the segmentation of characters and reorganization and also develop electronics parking fee collection system based on number plate information.

Item Type: Article (Journal)
Additional Information: 5486/39155
Uncontrolled Keywords: Automatic parking system, autocorrelation, image processing, mean square error, plate number recognition structural similarity index
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Depositing User: Dr Muhammad Rashid
Date Deposited: 14 Nov 2014 11:13
Last Modified: 14 Nov 2014 11:13
URI: http://irep.iium.edu.my/id/eprint/39155

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