Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)

Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this article, an automatic license plate recognition system is...

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Main Authors:	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Rubiyah Yusof
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2009
Online Access:	http://journalarticle.ukm.my/39/ http://journalarticle.ukm.my/39/ http://journalarticle.ukm.my/39/1/

id	ukm-39
recordtype	eprints
spelling	ukm-392016-12-14T06:26:13Z http://journalarticle.ukm.my/39/ Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL) Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Rubiyah Yusof, Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this article, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates based on image processing, clustering, feature extraction and neural networks. The image processing library is developed in-house which is referred to as Vision System Development Platform (VSDP). Sharpen filter, Minimum filter, Median Filter and Homomorphic Filter were used in the image enhancement process. After applying image enhancement, the image is segmented using blob analysis, horizontal scan line profiles, clustering and run length smoothing algorithms approach to identify the location of the license plate. Thoroughly each image is transformed into blob objects and its important information such as total bumber of blobs, location, height and width, are being analyzed for the purpose of cluster exercising and choosing the best cluster with winner blobs. A new algorithm called Cluster Run Length Smoothing Algorithm (CRLSA) approach was applied to locate the license plate at the right position. CRLSA consists of two separate proposed algorithm which applied proposed edge detector algorithm using 3×3 kernel masks and 128 grayscale offset, and the resulting image is thresholded in order to calculate Run Length Smoothing Algorithm (RLSA), which has shown to improve the clustering process in the segmentation phase. Three separate experiments were performed to analyse its effectiveness. From those experiments, analysis of error tables were constructed. The prototyped system has an accuracy of more than 96% and suggestions to further improve the system are also discussed. Universiti Kebangsaan Malaysia 2009-08 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/39/1/ Siti Norul Huda Sheikh Abdullah, and Marzuki Khalid, and Khairuddin Omar, and Rubiyah Yusof, (2009) Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL). Sains Malaysiana, 38 (4). pp. 577-587. ISSN 0126-6039 http://www.ukm.my/~jsm/contents.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this article, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates based on image processing, clustering, feature extraction and neural networks. The image processing library is developed in-house which is referred to as Vision System Development Platform (VSDP). Sharpen filter, Minimum filter, Median Filter and Homomorphic Filter were used in the image enhancement process. After applying image enhancement, the image is segmented using blob analysis, horizontal scan line profiles, clustering and run length smoothing algorithms approach to identify the location of the license plate. Thoroughly each image is transformed into blob objects and its important information such as total bumber of blobs, location, height and width, are being analyzed for the purpose of cluster exercising and choosing the best cluster with winner blobs. A new algorithm called Cluster Run Length Smoothing Algorithm (CRLSA) approach was applied to locate the license plate at the right position. CRLSA consists of two separate proposed algorithm which applied proposed edge detector algorithm using 3×3 kernel masks and 128 grayscale offset, and the resulting image is thresholded in order to calculate Run Length Smoothing Algorithm (RLSA), which has shown to improve the clustering process in the segmentation phase. Three separate experiments were performed to analyse its effectiveness. From those experiments, analysis of error tables were constructed. The prototyped system has an accuracy of more than 96% and suggestions to further improve the system are also discussed.
format	Article
author	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Rubiyah Yusof,
spellingShingle	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Rubiyah Yusof, Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)
author_facet	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Rubiyah Yusof,
author_sort	Siti Norul Huda Sheikh Abdullah,
title	Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)
title_short	Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)
title_full	Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)
title_fullStr	Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)
title_full_unstemmed	Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)
title_sort	pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(gkjl)
publisher	Universiti Kebangsaan Malaysia
publishDate	2009
url	http://journalarticle.ukm.my/39/ http://journalarticle.ukm.my/39/ http://journalarticle.ukm.my/39/1/
first_indexed	2023-09-18T19:01:05Z
last_indexed	2023-09-18T19:01:05Z
_version_	1777403078593478656

Pengesanan nombor plat kenderaan menggunakan alkhwarizmi gugusan dan kelancaran jarak larian(GKJL)

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