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System and process for constructing optimized prototypes for pattern recognition using competitive classification learning

  • US 5,802,207 A
  • Filed: 06/30/1995
  • Issued: 09/01/1998
  • Est. Priority Date: 06/30/1995
  • Status: Expired due to Term
First Claim
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1. A method for optimizing prototypes of model characters for character recognition, said prototypes including at least one prototype feature value vector selected for each true class I into which inputted training character samples, of said model characters, are organized, said method comprising the step of:

  • for each training character sample, iteratively;

    using a processor, electronically determining the nearest class M containing the nearest prototype to said training character sample,using said processor, if said nearest class M is different from said true class I of said training character sample, electronically updating the value of at least some of said prototypes by a value which depends on;

    ##EQU30## where;

    n is the iteration number,OM is the distance from said training character sample to said nearest prototype of said nearest class M,OI is the distance from said training character sample to the nearest prototype of said true class I, andA(n) is a monotonically decreasing bandwidth parameter such that 0<

    A(n+1)<

    A(n) for all n.

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