Advertisement

Computer vision and image processing in postal automation

  • G. Garibotto
  • C. Scagliola
Session 12: Miscellaneous Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

The paper is intended to provide an overview of Computer Vision applications within the context of Postal Automation services. The main functional requirements are briefly referred, as well as the involved Vision functions, which are considered here in a broad sense, including Pattern Recognition, Image Processing and understanding, Signal Processing and Robot Vision. New trends as well as new services emerging in Postal Automation are also discussed, trying to highlight the expected impact on the development of Computer Vision technology.

Keywords

Service Robot Autonomous Navigation Destination Address Handwriting Recognition Mail Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [1]
    Poste Italiane, “Volume Traffiico Nazionale”, World Wide Web site: http://www. nettuno. it/fiera/posteitaliane/roma/litml/4bc-corr. gifGoogle Scholar
  2. [2]
    Canada Post Corporation, “Progress Report”, 11-th Int. Conference on Postal Mechanisation, Melbourne, March 7–11, 1994.Google Scholar
  3. [3]
    United States Postal Service, “Postal Facts for Fiscal Year 1995”, World Wide Web site: http://www.usps.gov/history/pfact95f.htm.Google Scholar
  4. [4]
    Proceedings of the Third International Conference on Document Analysis and Recognition, IEEE Computer Society Press, Aug. 1995.Google Scholar
  5. [5]
    “The First Census Optical Character Recognition System Conference”, NISTIR 4912, Aug. 1992, U.S. Dep. of Commerce, NIST.Google Scholar
  6. [6]
    F.Kimura & M.Shridhar, “Hand-written Address Interpretation using Extended Lexicon Word Matching”, 5-th Int. Workshop on Frontiers in Handwriting Recognition, Colchester, September 2–5, 1996.Google Scholar
  7. [7]
    Proceedings of the Advanced Technology Conference, USPS, 1992Google Scholar
  8. [8]
    B.Ulmer, “VITA II — Active Collision Avoidance in Real Traffic”, IEEE Symposium on Intelligent Vehicles `94, Oct. 1994, Paris, pp. 1–6.Google Scholar
  9. [9]
    E.D.Dickmanns, R.Behringer, D.Dickmanns, T.Hildebrandt, M.Maurer, F.Thomanek, J.Schielen, “The Seeing Passenger Car VaMoRs-P”, IEEE Symposium on Intelligent Vehicles `94, Oct. 1994, Paris, pp. 68–73.Google Scholar
  10. [10]
    J.M.Evans, “HelpMate: a service robot success story”, Service Robot: An International Journal, Vol 1 n.1, 1995, pp.19–21, MCB University Press.Google Scholar
  11. [11]
    G.Garibotto, “ROBOLIFT: vision guided autonomous fork-lift”, Service Robot: An International Journal, Vol 2 n.3, 1996, pp.31–36, MCB University Press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • G. Garibotto
    • 1
  • C. Scagliola
    • 1
  1. 1.Elsag BaileyGenovaItaly

Personalised recommendations