Home
  • English
  • ÄŒeÅ¡tina
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • LatvieÅ¡u
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Log In
    New user? Click here to register. Have you forgotten your password?
Home
  • Browse Our Collections
  • Publications
  • Researchers
  • Research Data
  • Institutions
  • Statistics
    • English
    • ÄŒeÅ¡tina
    • Deutsch
    • Español
    • Français
    • Gàidhlig
    • LatvieÅ¡u
    • Magyar
    • Nederlands
    • Português
    • Português do Brasil
    • Suomi
    • Log In
      New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Resources
  3. Journals
  4. Applied Mathematics and Computational Intelligence (AMCI)
  5. License plate number recognition using Support Vector Machine (SVM)
 
Options

License plate number recognition using Support Vector Machine (SVM)

Journal
Applied Mathematics and Computational Intelligence (AMCI)
ISSN
2289-1315
Date Issued
2022-12
Author(s)
Hanifah Sulaiman
Universiti Teknologi MARA
Hani Fatiah
Universiti Teknologi MARA
Nurul Nadirah Sharuddin
Universiti Teknologi MARA
Suhaila Abd Halim
Universiti Teknologi MARA
Nora Baizura Mohd Isa
Universiti Teknologi MARA
Handle (URI)
https://ejournal.unimap.edu.my/index.php/amci/article/view/119/87
https://amci.unimap.edu.my/
https://hdl.handle.net/20.500.14170/3088
Abstract
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)isapplied. It is used inmanaging the control accessto enterasecureparking 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. 26sets 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 ofcharacter 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.
Subjects
  • License plate number

  • Support vector machin...

  • Image processing

  • MATLAB

  • Recognition

File(s)
License Plate Number Recognition Using Support Vector Machine (SVM).pdf (744.27 KB)
Downloads
46
Last Month
21
Acquisition Date
Jan 11, 2026
View Details
Views
1
Acquisition Date
Jan 11, 2026
View Details
google-scholar
  • About Us
  • Contact Us
  • Policies