• DocumentCode
    1559318
  • Title

    Handwritten alphanumeric character recognition by the neocognitron

  • Author

    Fukushima, Kunihiko ; Wake, Nobuaki

  • Author_Institution
    Dept. of Biophys. Eng., Osaka Univ., Japan
  • Volume
    2
  • Issue
    3
  • fYear
    1991
  • fDate
    5/1/1991 12:00:00 AM
  • Firstpage
    355
  • Lastpage
    365
  • Abstract
    A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant visual pattern recognition, is discussed. The neocognition was developed by Fukushima (1980). The system has been trained to recognize 35 handwritten alphanumeric characters. The ability to recognize deformed characters correctly depends strongly on the choice of the training pattern set. Some techniques for selecting training patterns useful for deformation-invariant recognition of a large number of characters are suggested
  • Keywords
    neural nets; optical character recognition; parallel architectures; alphanumeric character recognition; deformation-invariant visual pattern recognition; handwritten alphanumeric characters; neocognitron; neural network; Character recognition; Concurrent computing; Data preprocessing; Handwriting recognition; Neural networks; Pattern recognition; Robustness; Supervised learning;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.97912
  • Filename
    97912