Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian

These different types of license plate being used, each country needs different requirement automatic license plate recognition. In this paper license plate recognition using sobel algorithm is proposed for Malaysian vehicle with standard format license plate based on image processing. It also focu...

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Main Author:	Sofian, Mohamad Izzuddin
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/18273/2/TD_MOHAMAD%20IZZUDDIN%20SOFIAN%20CS%2013_5.pdf
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id	my-uitm-ir.18273
record_format	uketd_dc
spelling	my-uitm-ir.182732019-02-07T08:55:08Z Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian 2013 Sofian, Mohamad Izzuddin These different types of license plate being used, each country needs different requirement automatic license plate recognition. In this paper license plate recognition using sobel algorithm is proposed for Malaysian vehicle with standard format license plate based on image processing. It also focus on street line plate number not in double line plate number. After snapshot of car were run on the system, it will transform or invert the images into gray scale image. Typically sobel is used to find the approximate absolute gradient magnitude at each point in an input gray scale his image. The experiment had been done in order to measure the percentage of accuracy of this system. From this experiment, the prototype system produces 40% accuracy rate of identifying correct license plate. 2013 Thesis https://ir.uitm.edu.my/id/eprint/18273/ https://ir.uitm.edu.my/id/eprint/18273/2/TD_MOHAMAD%20IZZUDDIN%20SOFIAN%20CS%2013_5.pdf text en public dphil degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	These different types of license plate being used, each country needs different requirement automatic license plate recognition. In this paper license plate recognition using sobel algorithm is proposed for Malaysian vehicle with standard format license plate based on image processing. It also focus on street line plate number not in double line plate number. After snapshot of car were run on the system, it will transform or invert the images into gray scale image. Typically sobel is used to find the approximate absolute gradient magnitude at each point in an input gray scale his image. The experiment had been done in order to measure the percentage of accuracy of this system. From this experiment, the prototype system produces 40% accuracy rate of identifying correct license plate.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Sofian, Mohamad Izzuddin
spellingShingle	Sofian, Mohamad Izzuddin Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian
author_facet	Sofian, Mohamad Izzuddin
author_sort	Sofian, Mohamad Izzuddin
title	Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian
title_short	Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian
title_full	Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian
title_fullStr	Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian
title_full_unstemmed	Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian
title_sort	malaysian license plate recognition using sobel algorithm / mohamad izzuddin sofian
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/18273/2/TD_MOHAMAD%20IZZUDDIN%20SOFIAN%20CS%2013_5.pdf
_version_	1783733648621568000

Malaysian license plate recognition using sobel algorithm / Mohamad Izzuddin Sofian

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