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 language | English |
---|---|
Title of host publication | ICONN, ICOSOLID, ICOPLI 2004 |
Subtitle of host publication | 4th WSEAS International Conference on Optics, Photonics, Lasers And Imaging (ICOPLI 2004) |
Editors | Yiming Li, Nikos Mastorakis |
Place of Publication | Taiwan |
Publisher | World Scientific and Engineering Academy and Society (WSEAS) |
Number of pages | 5 |
Volume | 1 |
ISBN (Electronic) | 960-8052-93-9 |
Publication status | Published - 2004 |
Event | 4th WSEAS International Conference on Optics, Photonics, Lasers And Imaging: ICOPLI 2004 - Taiwan, China Duration: 14 Jan 2004 → 16 Jan 2004 |
Conference
Conference | 4th WSEAS International Conference on Optics, Photonics, Lasers And Imaging |
---|---|
Country/Territory | China |
City | Taiwan |
Period | 14/01/04 → 16/01/04 |
Keywords
- Licence Plate Recognition
- tonal variation
- Segmentation
- OCR
- Quadtree