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Car plate recognition system based on chain code and local signature

Car plate recognition system has been developed to identify vehicles by the contents of their car plate for law enforcement nowadays. The application of the recognition system has wide variety where it is used as the vehicle access control, state border control and vehicle traffic monitoring. Since...

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Bibliographic Details
Main Author: Lee, Ee Von
Format: Thesis
Language:English
Published: 2011
Subjects:
TE Highway engineering. Roads and pavements
Online Access:http://eprints.utm.my/id/eprint/31921/1/LeeEeVonMFKE2011.pdf
http://eprints.utm.my/id/eprint/31921/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69731?site_name=Restricted Repository
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id my.utm.31921
record_format eprints
spelling my.utm.319212018-05-27T07:09:51Z http://eprints.utm.my/id/eprint/31921/ Car plate recognition system based on chain code and local signature Lee, Ee Von TE Highway engineering. Roads and pavements Car plate recognition system has been developed to identify vehicles by the contents of their car plate for law enforcement nowadays. The application of the recognition system has wide variety where it is used as the vehicle access control, state border control and vehicle traffic monitoring. Since the usage model is wide, the accuracy of the recognition system is very important. This project is aimed for implementation of a car plate recognition system for standard Malaysia car plates using the chain code and local signature as the recognition technique. This system consists of several phases which are the car plate image extraction, car plate characters segmentation, database creation and character recognition. Besides, Graphical User Interface is developed for better user experience. The software is developed in the Visual C++ environment and the image processing is done by the OpenCV library. With the 100 images that being tested, the success rate for the car plate image extraction is 94%, segmentation is 93% while recognition is 75%. This recognition system does not give high recognition accuracy but improvement is suggested on the software development such as adaptive threshold mechanism and chain code normalization prior to recognition phase. 2011-05 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/31921/1/LeeEeVonMFKE2011.pdf Lee, Ee Von (2011) Car plate recognition system based on chain code and local signature. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69731?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TE Highway engineering. Roads and pavements
spellingShingle TE Highway engineering. Roads and pavements
Lee, Ee Von
Car plate recognition system based on chain code and local signature
description Car plate recognition system has been developed to identify vehicles by the contents of their car plate for law enforcement nowadays. The application of the recognition system has wide variety where it is used as the vehicle access control, state border control and vehicle traffic monitoring. Since the usage model is wide, the accuracy of the recognition system is very important. This project is aimed for implementation of a car plate recognition system for standard Malaysia car plates using the chain code and local signature as the recognition technique. This system consists of several phases which are the car plate image extraction, car plate characters segmentation, database creation and character recognition. Besides, Graphical User Interface is developed for better user experience. The software is developed in the Visual C++ environment and the image processing is done by the OpenCV library. With the 100 images that being tested, the success rate for the car plate image extraction is 94%, segmentation is 93% while recognition is 75%. This recognition system does not give high recognition accuracy but improvement is suggested on the software development such as adaptive threshold mechanism and chain code normalization prior to recognition phase.
format Thesis
author Lee, Ee Von
author_facet Lee, Ee Von
author_sort Lee, Ee Von
title Car plate recognition system based on chain code and local signature
title_short Car plate recognition system based on chain code and local signature
title_full Car plate recognition system based on chain code and local signature
title_fullStr Car plate recognition system based on chain code and local signature
title_full_unstemmed Car plate recognition system based on chain code and local signature
title_sort car plate recognition system based on chain code and local signature
publishDate 2011
url http://eprints.utm.my/id/eprint/31921/1/LeeEeVonMFKE2011.pdf
http://eprints.utm.my/id/eprint/31921/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69731?site_name=Restricted Repository
_version_ 1643648887843454976
score 13.211869

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