Abstract

This paper presents a Quadtree based Vehicles Recognition System (SIREVIA), which uses imagescaptured by a digital camera for identifying the vehicle’s license plate. A methodology to identify the license platein the captured image using digital image processing techniques and artificial intelligent techniques is presented.The plate location algorithm is based on the detection of high contrast areas along the image lines. The characterrecognition is preformed using a quadtree based object detection algorithm and an automatic classifier usingdecision trees trained for identifying all the alphabet letters and numbers. A prototype of an access control for acar parking is also presented. This application uses a database witch keeps the information about authorized cars,users and different access levels to a specific place.
Original languageEnglish
Title of host publicationICONN, ICOSOLID, ICOPLI 2004
Subtitle of host publication4th WSEAS International Conference on Optics, Photonics, Lasers And Imaging (ICOPLI 2004)
EditorsYiming Li, Nikos Mastorakis
Place of PublicationTaiwan
PublisherWorld Scientific and Engineering Academy and Society (WSEAS)
Number of pages5
Volume1
ISBN (Electronic)960-8052-93-9
Publication statusPublished - 2004
Event4th WSEAS International Conference on Optics, Photonics, Lasers And Imaging: ICOPLI 2004 - Taiwan, China
Duration: 14 Jan 200416 Jan 2004

Conference

Conference4th WSEAS International Conference on Optics, Photonics, Lasers And Imaging
CountryChina
CityTaiwan
Period14/01/0416/01/04

Keywords

  • Licence Plate Recognition
  • tonal variation
  • Segmentation
  • OCR
  • Quadtree

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