Detection and Recognition of Car Plates in Parking Lots at Baghdad University

Authors

  • Noor M. Hashem Department of Physics, College of Science for Women, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-1918-4116
  • Heba Kh. Abbas Department of Physics, College of Science for Women, University of Baghdad, Baghdad, Iraq
  • Haidar J. Mohamad Department of physics, College of Science, Mustansiriyah University, Baghdad, Iraq https://orcid.org/0000-0003-2032-4080

DOI:

https://doi.org/10.24996/ijs.2023.64.2.43

Keywords:

Haar classifier, Viola-Jones, Adaboosting, cascade, car plate detection

Abstract

   A simple and smart algorithm was presented to recognize car plates in parking at the College of Science for Women, University of Baghdad, Iraq. The study consists of recording video clips of all cars parked in the selected area. The studied camera heights were1m and 2m, and the video clips were 19 and 30. Images were extracted from the video clip to be used for training data for the cascade method. Haar classification was used to detect license plates after the training step. Viola-jones algorithm was applied to the output of Haar’s data for both camera heights (1m and 2m). The accuracy was calculated for all data with different weather conditions and local time recoding. The accuracy is 100% for all data in this study.

 

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Published

2023-02-28

Issue

Section

Remote Sensing

How to Cite

Detection and Recognition of Car Plates in Parking Lots at Baghdad University. (2023). Iraqi Journal of Science, 64(2), 1018-1029. https://doi.org/10.24996/ijs.2023.64.2.43

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