Method and system for analyzing image identifications to identify an entity

  • US 8,094,887 B2
  • Filed: 03/30/2007
  • Issued: 01/10/2012
  • Est. Priority Date: 06/08/2006
  • Status: Expired due to Fees
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First Claim
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1. A method for analyzing image identifications to determine whether the image identifications identify an entity, said method comprising:

  • receiving, by a validation engine from at least two optical character recognition (OCR) engines, at least two identification sets such that each identification set comprises a character string consisting of a plurality of characters and a confidence level associated with the character string, wherein each character string has been derived by a respective OCR engine of the at least two OCR engines from an image of the entity, wherein at least one identification set of the at least two identification sets is received by the validation engine from each OCR engine;

    comparing, by the validation engine, each character string with every other character string, resulting in identifying all conflicting character strings, wherein any two non-identical character strings are considered to be conflicting;

    analyzing, by the validation engine, the confidence level in each identification set, resulting in determining whether said each confidence level exceeds a predefined threshold confidence level;

    applying, by the validation engine, at least one rule to the identifying resulting from said comparing and/or to the determining resulting from said analyzing, resulting in ascertaining whether or not the entity has been identified; and

    storing, in a data store coupled to the validation engine, an indication of whether or not said ascertaining has ascertained that the entity has been identified, wherein said storing is performed by the validation engine.

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