License Plate Recognition System: Saudi Arabian Case

  • Muhammad Sarfraz*
  • , Mohammed Jameel Ahmed
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

License Plate Recognition (LPR) is one kind of intelligent transport system and is of considerable interest because of its potential applications to areas such as highway electronic toll collection, traffic monitoring systems and so on. It was developed to identify vehicles by the contents of their license plate. Research is in progress for the recognition of Korean, Chinese, European and other license plates. However, the proposed work seems to be the first attempt towards the recognition of Saudi Arabian license plates. This chapter proposes an automatic license plate recognition system for Saudi Arabian license plates. The system captures images of the vehicles with a digital camera. An algorithm for the extraction of the license plate has been designed and an algorithm for segmentation of characters is proposed. The performance of the system has been investigated on real images of about 610 vehicles captured under various illumination conditions. Recognition of about 95% shows that the system is quite effective.

Original languageEnglish
Title of host publicationComputer-Aided Intelligent Recognition Techniques and Applications
PublisherJohn Wiley & Sons, Ltd
Pages19-32
Number of pages14
ISBN (Print)0470094141, 9780470094143
DOIs
StatePublished - 20 Dec 2005

Keywords

  • Black to White Ratio and Plate Extraction
  • Character recognition
  • Filtering
  • Image acquisition phase
  • License Plate Recognition (LPR)
  • License plate extraction
  • License plate segmentation
  • Saudi Arabian license plates
  • Vehicle License Plate Recognition (LPR)
  • automatic license plate recognition system

ASJC Scopus subject areas

  • General Engineering

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