Using Decision Surface Mapping in the Automatic Recognition of Images

  • Colin Reeves
  • Gurdeep Singh Billan
Conference paper


The decision surface mapping (DSM) version of Kohonen’s LVQ technique seems to have been neglected in comparison to other neural network paradigms. In this paper, we explore its use for the swift learning and recognition of objects flowing along a conveyor line in a small-scale manufacturing plant. The experimental work reported suggests that DSM has considerable potential in image recognition problems.


Conveyor Belt Automatic Recognition Learning Vector Quantization Recognition Phase Learning Algo 
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.


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    T. Kohonen (1989) Self-Organization and Associative Memory, 2nd edition, Springer-Verlag, Berlin.Google Scholar
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    S. Haykin (1999) Neural Networks: a Comprehensive Foundation, 2nd edition, Prentice Hall, London.MATHGoogle Scholar
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    S. Geva J. Sitte (1991) Adaptive nearest neighbour pattern classification. IEEE Trans. Neural Networks, 2, 318–322.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Colin Reeves
  • Gurdeep Singh Billan
    • 1
  1. 1.School of Mathematical and Information SciencesCoventry UniversityUK

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