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License Plate Recognition

  • US 20190066492A1
  • Filed: 08/22/2017
  • Published: 02/28/2019
  • Est. Priority Date: 08/22/2017
  • Status: Active Grant
First Claim
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1. A method for identifying characters on license plates said method comprising:

  • a) a learning process comprising;

    i) acquiring a plurality of images of vehicles on a roadway, said images including the license plates,ii) identifying, solely by optical character recognition, the characters on the license plates in the plurality of images, and grouping the images identified as the same license plate, thereby providing a plurality of first identification groups,iii) determining if all of the images in each of the plurality of first identification groups are the same license plate,b) an identification process, used subsequent to the learning process, the identification process comprising;

    i) acquiring a plurality of images of vehicles on a roadway, said images including the license plates,ii) identifying, solely by optical character recognition, the characters on the license plates in the plurality of images, and grouping the images identified as the same license plate, thereby providing a plurality of second identification groups,iii) matching the identified characters of the second identification groups with the identified characters of the first identification groups, and, if the matched first identification groups included only one license plate confirm the optical character recognition of the second identification group, and, if the first identification groups included more than one license plate comparing pairwise each image in the second identification group with a confirmed image of each image in the first identification group, the comparison providing a confidence estimate for the match of each pairwise compared images, and, the confirmed image including an associated license plate characters, and,iv) assigning the characters of the license plate in the second identification group as the associated licenses plate characters that are associated with the confirmed image that had the highest confidence estimate.

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