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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/39/1/
http://journalarticle.ukm.my/39/
http://www.ukm.my/~jsm/contents.html
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spelling my-ukm.journal.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
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
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/39/1/
http://journalarticle.ukm.my/39/
http://www.ukm.my/~jsm/contents.html
_version_ 1643734595910238208
score 13.211869

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