A NEW AUTOMATIC EXTRACTION METHOD OF CONTAINER IDENTITY CODES

This paper details a novel method for the automatic extraction of cargo container identity codes from visual snapshots. It describes current methods for capturing and processing images of container codes and depicts their results. The paper discusses how these are unqualified to handle the task of deciphering millions of stained, aged, cargo container codes from around the world. The authors approach uses new filtering techniques and an adaptive neural network to teach a computer to read processed snapshots for container codes. Crossover technology areas include drivers license plates.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  Operations Center, 445 Hoes Lane, P.O. Box 1331
  Piscataway, NJ  United States  08855-1331
• Authors:
  • He, Zonglian
  • Liu, J
  • Ma, Hongguang
  • Li, Peng
• Publication Date: 2005-3

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 72-78
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 6
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Containerization; Containers; Identification systems; Image processing
• Subject Areas: Freight Transportation; Railroads;

Filing Info

• Accession Number: 00989344
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: May 3 2005 12:00AM