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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit UKM
2011
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| Online Access: | http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/1/1300-2507-1-SM.pdf |
| _version_ | 1848811091337936896 |
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| author | Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, |
| author_facet | Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, |
| author_sort | Siti Norul Huda Sheikh Abdullah, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:40:53Z |
| format | Article |
| id | oai:generic.eprints.org:6249 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:40:53Z |
| publishDate | 2011 |
| publisher | Penerbit UKM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Khairuddin Omar, Performance comparison of License Plate Recognition System using multi-features and SVM |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/ http://journalarticle.ukm.my/6249/1/1300-2507-1-SM.pdf |