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License Plate Number Recognition using Support Vector Machine (SVM)

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Main Authors: Hanifah, Sulaiman, Hani, Fatiah, Nurul Nadirah, Sharuddin, Suhaila, Abd Halim, Nora Baizura, Mohd Isa
Other Authors: hanifahsulaiman@uitm.edu.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2023
Subjects:
License plate number
Support vector machine
Image processing
MATLAB
Recognition
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77720
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spelling my.unimap-777202023-01-25T04:07:22Z License Plate Number Recognition using Support Vector Machine (SVM) Hanifah, Sulaiman Hani, Fatiah Nurul Nadirah, Sharuddin Suhaila, Abd Halim Nora Baizura, Mohd Isa hanifahsulaiman@uitm.edu.my Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Kedah, 08400 Merbok, Kedah License plate number Support vector machine Image processing MATLAB Recognition Link to publisher's homepage at https://amci.unimap.edu.my/ Detecting license plates number from vehicle is a modern technology that being use for various purpose such as in traffic application and various security such as control access to enter a car park, find stolen vehicle and gathering traffic flow statistic. However, there is a problem if a user lost their access card, and they are not allowed enter a car park. Due to this problem, it can cause traffic jammed. Besides that, during heavily raining, the barriers gate will be opened to allow staffs, postgraduate students, and visitors to enter the parking lot without scan the access card. Therefore, in this study, license plate number recognition (LPNR) with support vector machine (SVM) is applied. It is used in managing the control access to enter a secure parking lot. The aims of this study are to develop an algorithm for LPNR using multiclass SVM and apply the developed algorithm on a set of number plate images. 26 sets of number plate images will be used in the experimental studies. In developing the algorithm, it consists of seven steps which; input image, pre-processing image, license plate localization, pre-recognition of character segmentation, character enhancement, character recognition and storing recognized image. The experimental processes are successfully applied using MATLAB R2020A. Based on the result, it is shown that 77% license plate number images have been successful being recognized using the developed algorithm. As conclusion, the developed algorithm which is SVM in detect a license plate number of images are applied and plate number being recognized 2023-01-25T04:07:22Z 2023-01-25T04:07:22Z 2022-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.11(1), 2022, pages 61-72 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77720 en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic License plate number
Support vector machine
Image processing
MATLAB
Recognition
spellingShingle License plate number
Support vector machine
Image processing
MATLAB
Recognition
Hanifah, Sulaiman
Hani, Fatiah
Nurul Nadirah, Sharuddin
Suhaila, Abd Halim
Nora Baizura, Mohd Isa
License Plate Number Recognition using Support Vector Machine (SVM)
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 hanifahsulaiman@uitm.edu.my
author_facet hanifahsulaiman@uitm.edu.my
Hanifah, Sulaiman
Hani, Fatiah
Nurul Nadirah, Sharuddin
Suhaila, Abd Halim
Nora Baizura, Mohd Isa
format Article
author Hanifah, Sulaiman
Hani, Fatiah
Nurul Nadirah, Sharuddin
Suhaila, Abd Halim
Nora Baizura, Mohd Isa
author_sort Hanifah, Sulaiman
title License Plate Number Recognition using Support Vector Machine (SVM)
title_short License Plate Number Recognition using Support Vector Machine (SVM)
title_full License Plate Number Recognition using Support Vector Machine (SVM)
title_fullStr License Plate Number Recognition using Support Vector Machine (SVM)
title_full_unstemmed License Plate Number Recognition using Support Vector Machine (SVM)
title_sort license plate number recognition using support vector machine (svm)
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2023
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77720
_version_ 1772813100869746688
score 13.222552

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