Plate Fingerprinting for Enhanced Video Tolling

Video is getting more and more important in future tolling applications due to low initial investments and excellent interoperability aspects. However, a critical key factor for video tolling is the performance of the automatic number plate recognition (ANPR) algorithm. This paper deals with a strategy for improving the ANPR accuracy by taking into account the image context of the license plate – referred to as the fingerprint. Therefore, the authors describe two approaches. On the one side, the additional usage of fingerprints allows the improvement of correctly identified plates by keeping the error rate at the same level. On the other side, it allows to reduce the erroneous classification of number plates to extremely low values.

• Availability:
  • Find a library where document is available. Order URL: http://itswc.confex.com/itswc/WC2011/webprogram/start.html
• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Lettner, Martin
  • Linauer, Martin
  • Ohreneder, Christian
  • Ramoser, Herbert
• Conference:
  • 18th ITS World Congress
  • Location: Orlando Florida, United States
  • Date: 2011-10-16 to 2011-10-20
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 8p
• Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

Subject/Index Terms

• TRT Terms: Accuracy; Automatic license plate readers; Interoperability; Toll collection; Video imaging detectors
• Uncontrolled Terms: Error rate; Fingerprint-reading technology
• Subject Areas: Data and Information Technology; Finance; Highways; I10: Economics and Administration;

Filing Info

• Accession Number: 01449834
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 22 2012 9:14AM