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Mark Identification

  • Christian Demant
  • Carsten GarnicaEmail author
  • Bernd Streicher-Abel
Chapter
  • 1.8k Downloads

Abstract

Identification of work pieces, products, and materials is indispensable in automated production processes, be it for logistics, process control or quality management. There is a variety of methods available for labeling products, which are by no means limited to visually recognizable markings. Magnetic data carriers are a simple example of a non-visual labeling method often used for process control. Non-visual methods are actually easier to identify by automated systems.

Keywords

Search Line Work Piece Character Recognition Template Match Search Area 
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. Bishop CM (1995) Neural networks and pattern recognition. Oxford University Press, OxfordGoogle Scholar
  2. Lenk B (2005) Optische Identifikation. Monika Lenk Fachbuchverlag, Kirchheim unter TeckGoogle Scholar
  3. Schwenk M (1991) Mustererkennung mit Neuronalen Netzen. Master’s thesis, Institute of Technical Optics, University of StuttgartGoogle Scholar
  4. Smith M (1993) Neural networks for statistical modeling. Van Nostrand Reinhold, New YorkGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christian Demant
    • 1
  • Carsten Garnica
    • 1
    Email author
  • Bernd Streicher-Abel
    • 1
  1. 1.NeuroCheck GmbHRemseckGermany

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