VEHICLE LICENSE PLATE RECOGNITION BY MEANS OF CELLULAR AUTOMATA
In this paper, the authors present a prototype for a vehicle license plate recognition system that is based on both uniform and non-uniform cellular automata. The system is capable of recognizing license plates for slow-moving vehicles under any environmental conditions. It is shown that the cellular automata model leads to improved time performances.
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Supplemental Notes:
- Publication Date: 1998. IEEE Service Center, Piscataway NJ
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Corporate Authors:
Istituto elaborazione segnali ed immagini (Italy)
,Kuo li ching hua ta hsueh (Hsin-chu shih, Taiwan)
,University of Louisville
,Keisatsu Daigakko
,University of Wolverhampton. Transportation and Automotive Systems Research Centre
,Tsukuba Daigaku
,Texas Transportation Institute
Texas A&M University System, 3135 TAMU
College Station, TX United States 77843-3135Kanazawa Daigaku
,University of Michigan Transportation Research Institute
IVHS Program Office, 2901 Baxter Road
Ann Arbor, MI United States 48109Oakland County, Michigan
Road Commission, 31001 Lahser Road
Beverly Hills, MI United States 48025Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590Universita di Parma
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Authors:
- Adorni, Giovanni
- Bergenti, Federico
- Cagnoni, Stefano
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Conference:
- IEEE International Conference on Intelligent Vehicles. Proceedings of the 1998 IEEE International Conference on Intelligent Vehicles
- Location: Stuttgart , Germany
- Date: 1998-0-0
- Publication Date: 1998
Language
- English
Media Info
- Pagination: p. 689-693
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Serial:
- Volume: 2
Subject/Index Terms
- TRT Terms: License plates; Pattern recognition systems
- Subject Areas: Vehicles and Equipment;
Filing Info
- Accession Number: 00823786
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH, USDOT
- Created Date: Feb 5 2002 12:00AM