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Method and apparatus for biomathematical pattern recognition

  • US 6,466,923 B1
  • Filed: 04/29/1998
  • Issued: 10/15/2002
  • Est. Priority Date: 05/12/1997
  • Status: Expired due to Fees
First Claim
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1. In a computing machine, a method for mapping a dataset representative of physical features to a specific pattern representative of physical objects wherein said dataset can be mapped intermediately to a spatially-defined image, said method comprising:

  • selecting a basis for generating at least one probe set of data from a training dataset;

    creating at least one probe set composed of probes of partitionable, spatially-definable data from said training dataset on said computing machine for mating with patterns in known spatially-definable images to be recognized, each said probe of said probe set having a complementary value at selected image fragment positions among a preselected fraction of image fragments in key features in the spatially-defined image;

    inputting an unknown dataset to said computing machine;

    separating said unknown dataset into an ordering for decomposition;

    segmenting said unknown dataset into partitions corresponding to segmentation on said training dataset;

    applying said at least one probe set to said unknown dataset to identify with said patterns; and

    outputting said patterns associated with said selected image fragment positions of said unknown dataset specifying representations of physical objects associated with said patterns.

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