• DocumentCode
    3476469
  • Title

    Classification of the Italian Liras using the LVQ method

  • Author

    Kosaka, Toshihisa ; Omatu, Sigeru

  • Author_Institution
    Glory TD Himeji, Japan
  • Volume
    6
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    845
  • Abstract
    For pattern classification problems, neuro-pattern recognition which is pattern recognition based on a neural network approach has been paid attention since it can classify various patterns like human beings. We adopt the learning vector quantization(LVQ) method to classify various bill money. The reasons to use LVQ are that it can process unsupervised classification and treat many input data with small computational burden. We construct a LVQ network to classify Italian Liras. Compared with a conventional pattern matching technique, which has been adopted as a classification method, the proposed method has shown excellent classification results
  • Keywords
    image classification; image matching; neural nets; unsupervised learning; vector quantisation; Italian Lira; LVQ method; bill money; learning vector quantization; unsupervised classification; Biological neural networks; Focusing; Humans; Neurons; Office automation; Pattern classification; Pattern matching; Pattern recognition; Pixel; Size measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-5731-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1999.816662
  • Filename
    816662