AUTOMATIC IRAQI CARS NUMBER PLATES EXTRACTION

Authors

  • Safaa Omran Middle Technical University
  • Jumana Jarallah Middle Technical University

DOI:

https://doi.org/10.25195/ijci.v44i1.111

Keywords:

License Plate Recognition, License Plate Localization (LPL), Morphological Operations, Sobel Edge Detection

Abstract

License Plate Recognition (LPR) system becomes an
important research issue in recent years due to its importance to wide
ranges of commercial applications. The first and the most important
stage for any LPR system is the localization of the number plate
within the vehicle image. This paper presents a methodology for Iraqi
cars number plates extraction from the vehicle image using two
methods, the first one is morphological operations and the second
method is edge detection. The main idea is to use these two different
methods in such away so that the number plate of the vehicle can be
extracted precisely. These algorithms can quickly and correctly detect
and extract the number plate from the vehicle image although there
was a little noise in the image. This paper also makes a comparison
between the two methods of extraction in results. The software that
used to build the systems is MATLAB R2014a

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Author Biographies

Safaa Omran, Middle Technical University

Electrical Engineering Technical College

Jumana Jarallah, Middle Technical University

Electrical Engineering Technical Collegy

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Published

2018-06-30