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Matching prints with feature collections

  • US 8,077,933 B1
  • Filed: 09/01/2007
  • Issued: 12/13/2011
  • Est. Priority Date: 09/06/2006
  • Status: Active Grant
First Claim
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1. A method of measuring how well fingerprints match comprising:

  • comparing, by a processor of a machine, a pair of features from a first fingerprint with a pair of features from a second fingerprint, deriving a transformation that transforms the first pair of features of the first fingerprint to more closely match the first pair of features of the second fingerprint, and storing the transformation in a memory of the machine;

    repeating, by the machine, the comparing and the deriving of the transformation for each of a set of pairs of features on the first fingerprint and a set of pairs of features on the second fingerprint, therein forming a set of transformations;

    determining, by the machine, a degree to which each of the transformations of the sets of transformations match one another, and finding a subset of the set of transformations that is the largest group of transformations that match one another within a predetermined tolerance;

    computing a matching score for each transformation in the subset;

    combining, by the machine, the matching scores of each of the transformations of the subset to form a matching score representing a degree to which the first fingerprint matches the second fingerprint; and

    if the matching score for the fingerprints is above a threshold, indicating, by the machine, that the first and second fingerprint match.

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