US 12,002,296 B2
Identification verification system and related methods
Ryan Antrim, Scottsdale, AZ (US); and Andrey Stanovnov, Kenner, LA (US)
Assigned to CHECKPOINT ID, INC., Goodyear, AZ (US)
Filed by CHECKPOINT ID, INC., Goodyear, AZ (US)
Filed on Dec. 19, 2022, as Appl. No. 18/083,667.
Application 18/083,667 is a continuation of application No. 16/905,344, filed on Jun. 18, 2020, granted, now 11,532,183.
Claims priority of provisional application 62/863,409, filed on Jun. 19, 2019.
Prior Publication US 2023/0122771 A1, Apr. 20, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 40/70 (2022.01); G06F 16/54 (2019.01); G06F 21/62 (2013.01); G06K 19/06 (2006.01); G06N 20/00 (2019.01); G06V 40/16 (2022.01); G06V 40/50 (2022.01); G06V 40/60 (2022.01)
CPC G06V 40/70 (2022.01) [G06F 16/54 (2019.01); G06F 21/6245 (2013.01); G06K 19/06037 (2013.01); G06N 20/00 (2019.01); G06V 40/172 (2022.01); G06V 40/50 (2022.01); G06V 40/67 (2022.01)] 9 Claims
OG exemplary drawing
 
1. A system configured for identification verification, the system comprising:
one or more processors comprising an image receiving module, a privacy module, a format validation module, a pattern validation module, and a facial recognition module;
wherein the one or more processors are configured by machine-readable instructions to:
receive a first image with the image receiving module, the first image comprising an identification document with a first likeness of an individual;
receive a second image with the image receiving module, the second image comprising a second likeness of the individual;
encrypt or purge one or more pieces of identifying information of the individual in the identification document of the first image using the privacy module;
determine whether the identification document in the first image corresponds with a known form of identification document using the format validation module;
identify at least one element in the identification document and determine whether the at least one element corresponds to at least one authenticity element of the known form of identification document above a predetermined confidence level using the pattern validation module;
determine whether the first likeness corresponds with the second likeness within a predetermined confidence range using the facial recognition module;
transmit a first error message to the remote platform through a telecommunication channel using the pattern validation module if the at least one element corresponds to the at least one authenticity element below the predetermined confidence level; and
transmit a second error message to the remote platform through the telecommunication channel with the facial recognition module if the first likeness is not within the predetermined confidence range of the second likeness.