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On-line learning for neural net-based character recognition systems

  • US 5,966,460 A
  • Filed: 03/03/1997
  • Issued: 10/12/1999
  • Est. Priority Date: 03/03/1997
  • Status: Expired due to Term
First Claim
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1. A character recognition system, comprising:

  • means for capturing characters to be analyzed;

    an artificial neural network system including at least one primary classifier comprising a primary classification memory means and at least one secondary classifier comprising a secondary classification memory means, said artificial neural network system learning a first set of characters and storing the first set of characters in said primary classifier and said artificial neural network system storing a second set of characters related to the first set of characters in said secondary classifier; and

    a character analyzer for analyzing candidate characters captured by said capturing means, said character analyzer causing candidate characters to be compared with said first set of characters stored in said primary classifier when said candidate characters are recognizable with a high degree of confidence said high degree of confidence being used to dynamically train said secondary classifier, and said character analyzer causing candidate characters to be compared with said second set of characters stored in said secondary classifier when said candidate characters are recognizable with a low degree of confidence.

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