Performance comparison of License Plate Recognition System using multi-features and SVM

Feature extractor is one major factor in many image processing applications precisely in character recognition. The objective of this paper is to propose and to choose the best feature extractor for Malaysian licence plate recognition system. An enhanced Geometrical Feature Topological Analysis is p...

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Main Authors:	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar
Format:	Article
Language:	English
Published:	Penerbit UKM 2011
Online Access:	http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/1/1300-2507-1-SM.pdf

id	ukm-6249
recordtype	eprints
spelling	ukm-62492016-12-14T06:40:38Z http://journalarticle.ukm.my/6249/ Performance comparison of License Plate Recognition System using multi-features and SVM Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Feature extractor is one major factor in many image processing applications precisely in character recognition. The objective of this paper is to propose and to choose the best feature extractor for Malaysian licence plate recognition system. An enhanced Geometrical Feature Topological Analysis is proposed as a feature extractor and support vector machine is used as the classification technique. The proposed techniques and known feature extractors were used to justify its robustness for license plate recognition problem in precise. Previous research in the same domain, has applied straight pixels as the features. However, this approach is significantly acquire more time to execute the final recognition output typically in license plate recognition applications. Consequently, an alternative called the geometrical features with various combination techniques are proposed to enhance the overall performance in license plate recognition. Penerbit UKM 2011-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6249/1/1300-2507-1-SM.pdf Siti Norul Huda Sheikh Abdullah, and Marzuki Khalid, and Khairuddin Omar, (2011) Performance comparison of License Plate Recognition System using multi-features and SVM. Jurnal Teknologi Maklumat dan Multimedia, 10 . pp. 53-62. ISSN 1823-0113 http://ejournals.ukm.my/apjitm/issue/archive
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Feature extractor is one major factor in many image processing applications precisely in character recognition. The objective of this paper is to propose and to choose the best feature extractor for Malaysian licence plate recognition system. An enhanced Geometrical Feature Topological Analysis is proposed as a feature extractor and support vector machine is used as the classification technique. The proposed techniques and known feature extractors were used to justify its robustness for license plate recognition problem in precise. Previous research in the same domain, has applied straight pixels as the features. However, this approach is significantly acquire more time to execute the final recognition output typically in license plate recognition applications. Consequently, an alternative called the geometrical features with various combination techniques are proposed to enhance the overall performance in license plate recognition.
format	Article
author	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar,
spellingShingle	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Performance comparison of License Plate Recognition System using multi-features and SVM
author_facet	Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar,
author_sort	Siti Norul Huda Sheikh Abdullah,
title	Performance comparison of License Plate Recognition System using multi-features and SVM
title_short	Performance comparison of License Plate Recognition System using multi-features and SVM
title_full	Performance comparison of License Plate Recognition System using multi-features and SVM
title_fullStr	Performance comparison of License Plate Recognition System using multi-features and SVM
title_full_unstemmed	Performance comparison of License Plate Recognition System using multi-features and SVM
title_sort	performance comparison of license plate recognition system using multi-features and svm
publisher	Penerbit UKM
publishDate	2011
url	http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/1/1300-2507-1-SM.pdf
first_indexed	2023-09-18T19:46:22Z
last_indexed	2023-09-18T19:46:22Z
_version_	1777405927576567808

Performance comparison of License Plate Recognition System using multi-features and SVM

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