Malaysian license plate number extraction using character segmentation / Zainab Zakaria
Car License Plate Recognition (CLPR) method is a key too many traffic oriented applications such as traffic monitoring, border monitoring and in toll areas. Car License Plate Recognition (CLPR) consists of three phases: license plate detection, character segmentation and character recognition. Ja...
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2007
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my-uitm-ir.10142018-10-19T07:47:59Z Malaysian license plate number extraction using character segmentation / Zainab Zakaria 2007 Zakaria, Zainab Electronic Computers. Computer Science Car License Plate Recognition (CLPR) method is a key too many traffic oriented applications such as traffic monitoring, border monitoring and in toll areas. Car License Plate Recognition (CLPR) consists of three phases: license plate detection, character segmentation and character recognition. Jabatan Pengangkutan Jalan (JPJ) has a problem to detect a non-standardized Malaysian license plate number. This project proposes to extract static image of "PUTRAJAYA" Malaysian license plate number using character segmentation. The segmentation process will divided into vertical segmentation and horizontal segmentation. This application will produce the individual character. Character segmentation is an important step in Car License Plate Recognition (CLPR). There are many dif-faculties in this step, such as the influence of image noise, plate frame, rivet, the space mark and so on. Faculty of Computer and Mathematical Sciences 2007 Thesis https://ir.uitm.edu.my/id/eprint/1014/ https://ir.uitm.edu.my/id/eprint/1014/2/TB_ZAINAB%20ZAKARIA%20CS%2007_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Information Technology and Quantitative Sciences |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
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Electronic Computers Computer Science |
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Electronic Computers Computer Science Zakaria, Zainab Malaysian license plate number extraction using character segmentation / Zainab Zakaria |
description |
Car License Plate Recognition (CLPR) method is a key too many traffic oriented
applications such as traffic monitoring, border monitoring and in toll areas. Car License
Plate Recognition (CLPR) consists of three phases: license plate detection, character
segmentation and character recognition. Jabatan Pengangkutan Jalan (JPJ) has a problem
to detect a non-standardized Malaysian license plate number. This project proposes to
extract static image of "PUTRAJAYA" Malaysian license plate number using character
segmentation. The segmentation process will divided into vertical segmentation and
horizontal segmentation. This application will produce the individual character.
Character segmentation is an important step in Car License Plate Recognition (CLPR).
There are many dif-faculties in this step, such as the influence of image noise, plate
frame, rivet, the space mark and so on. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Zakaria, Zainab |
author_facet |
Zakaria, Zainab |
author_sort |
Zakaria, Zainab |
title |
Malaysian license plate number extraction using character segmentation / Zainab Zakaria |
title_short |
Malaysian license plate number extraction using character segmentation / Zainab Zakaria |
title_full |
Malaysian license plate number extraction using character segmentation / Zainab Zakaria |
title_fullStr |
Malaysian license plate number extraction using character segmentation / Zainab Zakaria |
title_full_unstemmed |
Malaysian license plate number extraction using character segmentation / Zainab Zakaria |
title_sort |
malaysian license plate number extraction using character segmentation / zainab zakaria |
granting_institution |
Universiti Teknologi MARA |
granting_department |
Faculty of Information Technology and Quantitative Sciences |
publishDate |
2007 |
url |
https://ir.uitm.edu.my/id/eprint/1014/2/TB_ZAINAB%20ZAKARIA%20CS%2007_5%20P01.pdf |
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1783732958068211712 |