Framework for automatic Malaysian license plate identification system

The requirement of License Plate Identification System differs from one country to another. Malaysian car plates in general appear in different character styles, types (either single or double row), sizes, spacing and character counts and customised printed characters. Such variations cause even det...

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Bibliographic Details
Main Author:	Tan, Jinn Li
Format:	Thesis
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.48212
record_format	uketd_dc
spelling	my-utm-ep.482122017-09-17T07:10:43Z Framework for automatic Malaysian license plate identification system 2013 Tan, Jinn Li TK Electrical engineering. Electronics Nuclear engineering The requirement of License Plate Identification System differs from one country to another. Malaysian car plates in general appear in different character styles, types (either single or double row), sizes, spacing and character counts and customised printed characters. Such variations cause even detecting and localising these plates a difficult problem. The problem of localisation is aggravated further during night time due to poor illumination. To handle these problems, a framework for automatic Malaysian license plate identification system is proposed. In this framework, edge-geometrical features in detecting these plates are introduced. At first, contrast enhancement is applied to increase the detection of edges. The edge part is obtained from the use of Difference of Gaussian operation followed by Sobel vertical edge mask. Then, morphological operations are applied to get the plate region candidates. Using these regions, together with the edge image, geometrical features of these regions are analysed and rule-based classifier is used to correctly identify the true plate region. Next, in character segmentation, normal profile projection and top-bottom feature points are introduced to reduce the problems of connected characters. Finally, extracted characters are then transformed into a single pixel thickness using Zhang-Suen algorithm and recognised using stroke analysis technique. Two experiments have been conducted and compared. The data set contains 250 images captured during day time and 250 images captured during night time. The result of the proposed prototype system shows 92.2% success rate 2013 Thesis http://eprints.utm.my/id/eprint/48212/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Framework+for+automatic+Malaysian+license+plate+identification+system&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Tan, Jinn Li Framework for automatic Malaysian license plate identification system
description	The requirement of License Plate Identification System differs from one country to another. Malaysian car plates in general appear in different character styles, types (either single or double row), sizes, spacing and character counts and customised printed characters. Such variations cause even detecting and localising these plates a difficult problem. The problem of localisation is aggravated further during night time due to poor illumination. To handle these problems, a framework for automatic Malaysian license plate identification system is proposed. In this framework, edge-geometrical features in detecting these plates are introduced. At first, contrast enhancement is applied to increase the detection of edges. The edge part is obtained from the use of Difference of Gaussian operation followed by Sobel vertical edge mask. Then, morphological operations are applied to get the plate region candidates. Using these regions, together with the edge image, geometrical features of these regions are analysed and rule-based classifier is used to correctly identify the true plate region. Next, in character segmentation, normal profile projection and top-bottom feature points are introduced to reduce the problems of connected characters. Finally, extracted characters are then transformed into a single pixel thickness using Zhang-Suen algorithm and recognised using stroke analysis technique. Two experiments have been conducted and compared. The data set contains 250 images captured during day time and 250 images captured during night time. The result of the proposed prototype system shows 92.2% success rate
format	Thesis
qualification_level	Master's degree
author	Tan, Jinn Li
author_facet	Tan, Jinn Li
author_sort	Tan, Jinn Li
title	Framework for automatic Malaysian license plate identification system
title_short	Framework for automatic Malaysian license plate identification system
title_full	Framework for automatic Malaysian license plate identification system
title_fullStr	Framework for automatic Malaysian license plate identification system
title_full_unstemmed	Framework for automatic Malaysian license plate identification system
title_sort	framework for automatic malaysian license plate identification system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
_version_	1747817335109976064

Framework for automatic Malaysian license plate identification system

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