CNN-APPLICATIONS IN TOLL DRIVING

This paper presents a vehicle license plate identification and recognition system. The system is considered as one of the four candidate systems for automated toll collection in the Netherlands. It makes use of discrete time cellular neural nets and classifier combining in order to deal with the extreme time and performance requirements that are placed on the system.

• Supplemental Notes:
  • Publication Date: November-December 1999
• Corporate Authors:

  Rijksuniversiteit te Groningen

  ,    
• Authors:
  • Brugge, M H ter
  • Nijhuis, J A G
  • Spaanenburg, L
  • Stevens, J H
• Publication Date: 1999

Language

• English

Media Info

• Pagination: p. 465-477
• Serial:
  • Journal of VLSI signal processing systems for signal, image, and video technology. Vol. 23, no. 2-3
  • Publisher: Rijksuniversiteit te Groningen

Subject/Index Terms

• TRT Terms: Automated toll collection; Automatic vehicle identification; Computer vision; License plates; Neural networks
• Subject Areas: Vehicles and Equipment;

Filing Info

• Accession Number: 00793420
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Jun 13 2000 12:00AM