Review on License plate recognition algorithms in images and video

Authors

  • Faisal Ghazi. Mohammed
  • Nada Hassan Jasem College of science, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.31695/IJERAT.2020.3599

Keywords:

Automatic Plate Number Recognition, Segmentation, License Plate Detection , License Plate Recognition

Abstract

It is possible to identify the existing license plate (LPR) pictures or videos depending on the algorithms used and in general it is possible that the algorithms consist of three steps in terms of processing are 1) extracting the part of the license plate; 2) manufacture of the license plate section. and 3) recognition of each character. The process is difficult due to the diversity of the panels' formats, as well as the lack of sufficient and uniform lighting during image acquisition, so it will be constrained under conditions such as fixed lighting, speed, specific roads, and other conditions. Several LPR technologies were developed in images and videos. This paper is a review of the authors work in this field and extracting the best results that the researchers reached to evaluate the LPR algorithm.

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Published

2020-02-20

Issue

Section

Articles

How to Cite

Review on License plate recognition algorithms in images and video. (2020). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) , 6(2), 18-25. https://doi.org/10.31695/IJERAT.2020.3599