Plate recognition for Malaysian vehicles using stroke analysis technique

The Road Transport Department of Malaysia has endorsed a specification for vehicle plates that includes the font and size of characters that must be followed by car owners. However, there are a special plate number where this specification is not followed such as Proton, BAMbee, Putrajaya, Tiara, Sa...

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Bibliographic Details
Main Author:	Setumin, Samsul
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/12026/6/SamsulSetuminMFKE2009.pdf
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id	my-utm-ep.12026
record_format	uketd_dc
spelling	my-utm-ep.120262017-09-19T05:27:05Z Plate recognition for Malaysian vehicles using stroke analysis technique 2009-11 Setumin, Samsul TK Electrical engineering. Electronics Nuclear engineering The Road Transport Department of Malaysia has endorsed a specification for vehicle plates that includes the font and size of characters that must be followed by car owners. However, there are a special plate number where this specification is not followed such as Proton, BAMbee, Putrajaya, Tiara, Satria and Perodua. This will cause problems in the recognition phase because existing systems will find difficulty in recognizing these plates. Therefore, this project is aimed of an implementing a recognition system that is capable of solving the mentioned issues using stroke analysis technique. The system is an offline system where the vehicle image is loaded manually from a directory. The loaded image is then pre-processed using image processing techniques. Consequently, the image is converted into a binary image. The plate region is extracted prior to characters extraction. All the characters then undergo thinning process before stroke analysis performs tracing and recognition of the characters. The system displays the output in readable text. The performance analysis has shown that the system is able to recognize Malaysian vehicle plate with more than 95 percent accuracy. 2009-11 Thesis http://eprints.utm.my/id/eprint/12026/ http://eprints.utm.my/id/eprint/12026/6/SamsulSetuminMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Setumin, Samsul Plate recognition for Malaysian vehicles using stroke analysis technique
description	The Road Transport Department of Malaysia has endorsed a specification for vehicle plates that includes the font and size of characters that must be followed by car owners. However, there are a special plate number where this specification is not followed such as Proton, BAMbee, Putrajaya, Tiara, Satria and Perodua. This will cause problems in the recognition phase because existing systems will find difficulty in recognizing these plates. Therefore, this project is aimed of an implementing a recognition system that is capable of solving the mentioned issues using stroke analysis technique. The system is an offline system where the vehicle image is loaded manually from a directory. The loaded image is then pre-processed using image processing techniques. Consequently, the image is converted into a binary image. The plate region is extracted prior to characters extraction. All the characters then undergo thinning process before stroke analysis performs tracing and recognition of the characters. The system displays the output in readable text. The performance analysis has shown that the system is able to recognize Malaysian vehicle plate with more than 95 percent accuracy.
format	Thesis
qualification_level	Master's degree
author	Setumin, Samsul
author_facet	Setumin, Samsul
author_sort	Setumin, Samsul
title	Plate recognition for Malaysian vehicles using stroke analysis technique
title_short	Plate recognition for Malaysian vehicles using stroke analysis technique
title_full	Plate recognition for Malaysian vehicles using stroke analysis technique
title_fullStr	Plate recognition for Malaysian vehicles using stroke analysis technique
title_full_unstemmed	Plate recognition for Malaysian vehicles using stroke analysis technique
title_sort	plate recognition for malaysian vehicles using stroke analysis technique
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	http://eprints.utm.my/id/eprint/12026/6/SamsulSetuminMFKE2009.pdf
_version_	1747814887335133184

Plate recognition for Malaysian vehicles using stroke analysis technique

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