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Pattern recognition system with statistical classification

  • US 5,703,964 A
  • Filed: 05/06/1996
  • Issued: 12/30/1997
  • Est. Priority Date: 09/16/1993
  • Status: Expired due to Fees
First Claim
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1. A pattern recognition system comprising:

  • a memory that stores a set of categories of training input patterns from a plurality of subject classes, each training input pattern representing multiple features of a subject, each category having a category definition according to training input patterns within the category, each category definition comprising a plurality of input pattern feature definitions, each category being associated with a training histogram of the training input patterns within the category and the training histogram including counts of training input patterns for each subject class within the category; and

    a classifier that receives during a testing operation at least one test input pattern from the subject, that accesses the set of categories, that computes a correlation between a category definition and the at least one test input pattern, that forms a category association between the at least one test input pattern and a category based on the correlation and that forms an observation histogram to classify the subject, the observation histogram being formed from each training histogram of each category of each category association, the observation histogram containing counts of training input patterns in the category, classification of the subject being determined by a peak class of the observation histogram.

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