Automatic Car Number Plate Detection using Morphological Image Processing

Authors

  • Mustafa Qahtan Alsudani Computer Techniques Engineering Department, Faculity of information Technology, Imam Jaafar Al-sadiq University, Iraq
  • Safa Riyadh Waheed Computer Techniques Engineering Department, Faculity of information Technology, Imam Jaafar Al-sadiq University, Iraq
  • Karrar A Kadhim Computer Techniques Engineering Department, Faculity of information Technology, Imam Jaafar Al-sadiq University, Iraq
  • Myasar Mundher Adnan Islamic University, Najaf, Iraq
  • Ameer Al-khaykan Air conditioning and Refrigeration Techniques Engineering Department, Al-Mustaqbal University College, 51001 Hillah, Babylon, Iraq

DOI:

https://doi.org/10.11113/mjfas.v19n3.2910

Keywords:

Car plate, car number detection, edge detection, feature extraction, OpenCV

Abstract

One of the most common uses of computer vision, automatic number plate recognition (ANPR) is also a pretty well-explored subject with numerous effective solutions. Due to regional differences in license plate design, however, these solutions are often optimized for a specific setting. Number plate recognition algorithms are often dependent on these aspects, making a universal solution unlikely due to the fact that the image analysis methods used to develop these algorithms cannot guarantee a perfect success rate. In this research, we offer an algorithm tailor-made for use with brand-new license plates in Iraq. The method employs edge detection, Feature Detection, and mathematical morphology to find the plate; it was developed in C++ using the OpenCV library. When characters were found on the plate, they were entered into the Easy OCR engine for analysis.

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Published

26-05-2023

Issue

Vol. 19 No. 3 (2023): May-June

Section

Article

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Copyright (c) 2023 MUHAMMAD SAFWAN ABD AZIZ, Mustafa Qahtan Alsudani, Safa Riyadh Waheed, Karrar A Kadhim, Myasar Mundher Adnan, Ameer Al-khaykan

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