IP Library Granted Patent US 12,406,534
Granted Patent B2
US 12,406,534 · App. 18/659,757 · Granted Sep 2, 2025

Identification verification system and related methods

Inventors: Ryan Antrim (Scottsdale, AZ); Andrey Stanovnov (Kenner, LA)
G06V40/70G06F16/54G06F21/6245G06K19/06037G06N20/00G06V40/172G06V40/50G06V40/67
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Quick Facts
Patent No.
US 12,406,534
App. No.
18/659,757
Granted
Sep 2, 2025
Kind
B2
Abstract

An aspect of the present disclosure relates to systems and methods for identification verification. A system may receive a request for identification verification, a first image with a likeness of an individual, and a second image with an identification document of the individual. The system may determine whether the identification document corresponds to a valid form of identification using pattern validation of one or more authenticity elements. The system may also determine whether the likeness of the individual corresponds to an image of the individual in the identification document within a predetermined confidence range. The system may also transmit outputs to the remote platform indicative of whether the identification document represents a valid form of identification and whether the likeness of the individual corresponds with the identification document.

Claims (25)

1. A system for identity verification of an individual, the system comprising:

a processor;

a non-transitory computer-readable storage medium comprising information corresponding to a plurality of predetermined identification documents and at least one authenticity element corresponding to each predetermined identification document and instructions that, when executed by the processor, cause the processor to perform acts comprising:

receive a first digital image from a remote platform, the first digital image comprising a presented identification document with a first likeness of the individual;

receive a second digital image from the remote platform, the second digital image comprising a second likeness of the individual;

determine whether the presented identification document in the first digital image corresponds with one of the plurality of predetermined identification documents in the storage;

if the presented identification document corresponds with one of the plurality of predetermined identification documents, identify at least one element in the presented identification document and determine whether the at least one identified element corresponds to the at least one authenticity element of the corresponding predetermined identification document above a predetermined confidence level using pattern validation;

determine whether the first likeness corresponds to the second likeness within a predetermined confidence range using facial recognition;

transmit a first output to the remote platform, the first output being indicative of whether the at least one identified element corresponds to the at least one authenticity element above a predetermined confidence level; and

transmit a second output to the remote platform, the second output being indicative of whether the first likeness corresponds to the second likeness within the predetermined confidence range.

2. The system of claim 1 , wherein the system is configured to determine whether the presented identification document in the first digital image corresponds with one of the plurality of predetermined identification documents in the storage by decoding a printed code in the presented identification document in the first digital image.

3. The system of claim 1 , wherein the computer-readable storage medium further comprises instructions that, when executed by the processor, cause the processor to determine a first orientation of the first digital image, determine a second orientation of the second digital image, and iteratively rotate the first digital image such that the first orientation is aligned with the second orientation.

4. The system of claim 1 , wherein the computer-readable storage medium further comprises instructions that, when executed by the processor, cause the processor to purge or encrypt identifying information of the individual contained in the first digital image.

5. The system of claim 1 , wherein the computer-readable storage medium further comprises instructions that, when executed by the processor, cause the processor to verify the presented identification document.

6. A method for verifying the identity of an individual, the method comprising:

receiving a first digital image from a remote platform, the first digital image being in a first orientation and comprising a presented identification document with a first likeness of the individual;

receiving a second digital image from the remote platform, the second digital image being in a second orientation and comprising a second likeness of the individual;

decoding a code in the presented identification document to determine whether the presented identification document in the first digital image corresponds with a predetermined acceptable form of identification;

identifying at least one element in the presented identification document and determining whether the at least one element corresponds to at least one predetermined authenticity element of the predetermined acceptable form of identification above a predetermined confidence level with a processor implementing machine-readable instructions for pattern validation;

determining whether the first likeness matches the second likeness within a predetermined confidence range with the processor implementing machine-readable instructions for facial recognition;

transmitting a first output to the remote platform, the first output being indicative of whether the presented identification document represents a valid form of identification and whether the at least one element corresponds to at least one predetermined authenticity element of the predetermined acceptable form of identification above a predetermined confidence level; and

transmitting a second output to the remote platform, the second output being indicative of whether the first likeness is within a predetermined confidence range of the second likeness.

7. The method of claim 6 , wherein the code is a barcode.

8. The method of claim 6 , further comprising receiving the at least one predetermined authenticity element of the predetermined acceptable form of identification from an external resource.

9. The method of claim 6 , further comprising iteratively rotating the first digital image until the first digital image is in the second orientation.

Assignments (2)
SECURITY INTEREST Recorded Oct 2, 2025
From: CHECKPOINT ID, INC.
To: GOLUB CAPITAL MARKETS LLC, AS COLLATERAL AGENT
Reel/Frame 072447/0160 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2024
From: ANTRIM, RYAN; STANOVNOV, ANDREY
To: CHECKPOINT ID, INC.
Reel/Frame 068612/0252 →
Continuity (4)
Continuation 18083667 · Dec 19, 2022
Continuation 16905344 · Jun 18, 2020
Provisional Application 62863409 · Jun 19, 2019
Related Publication 20240321015A1 · Sep 26, 2024
References Cited (44)
US 8832805B1 · McGilliard · 2014 [cited by examiner]
US 9396383B2 · King · 2016 [cited by applicant]
US 9481197B2 · Eckel · 2016 [cited by examiner]
US 9785764B2 · Loughlin-Mchugh et al. · 2017 [cited by applicant]
US 10242283B1 · Jain · 2019 [cited by examiner]
US 10257495B1 · Poder · 2019 [cited by examiner]
US 10452897B1 · Benkreira · 2019 [cited by examiner]
US 10475038B1 · Osborn · 2019 [cited by examiner]
US 11256792B2 · Tussy · 2022 [cited by examiner]
US 20120114189A1 · Lee · 2012 [cited by examiner]
US 20120114192A1 · Bladel · 2012 [cited by examiner]
US 20130036458A1 · Liberman et al. · 2013 [cited by applicant]
US 20170019331A1 · Yong · 2017 [cited by applicant]
US 20180005021A1 · Young · 2018 [cited by applicant]
US 20180018806A1 · Li · 2018 [cited by applicant]
US 20180068173A1 · Kolleri · 2018 [cited by examiner]
US 20180104563A1 · Kounellas · 2018 [cited by applicant]
US 20180189583A1 · Wohlken · 2018 [cited by examiner]
US 20180260617A1 · Jones · 2018 [cited by examiner]
US 20180373859A1 · Ganong · 2018 [cited by examiner]
US 20190258251A1 · Ditty et al. · 2019 [cited by applicant]
US 20200043319A1 · Nigam · 2020 [cited by examiner]
US 20200293796A1 · Mohammadabadi et al. · 2020 [cited by applicant]
US 20210407045A1 · Mironica · 2021 [cited by examiner]
AU 2014275340A1 · 2015 [cited by applicant]
CA 3046924A1 · 2018 [cited by applicant]
CA 3084855A1 · 2021 [cited by applicant]
WO 2014155130A2 · 2014 [cited by applicant]
WO 2016131083A1 · 2016 [cited by applicant]
WO 201810456A1 · 2018 [cited by applicant]
Chen et al., Next Generation Map Making: Geo Referenced Ground Level LIDAR Point Clouds for Automatic Retro Reflective Road Feature Extraction, ACM GIS'09, pp. 488-491 (Year: 2009). [cited by applicant]
Biometric ID cards at CTU in Prague (Year: 2012). [cited by applicant]
Service Authentication via electronic identification cards (Year: 2012). [cited by applicant]
Border Crossing Security and Privacy in Biometric Passport using Cryptographic Authentication Protocl (Year: 2013). [cited by applicant]
Arcos-Garcia et al., Exploiting synergies of 1nobile mapping sensors and deep learning for traffic sign recognition systems, Expert Systems With Applications 89, pp. 286-295 (Year: 2017). [cited by applicant]
ACUANT, Trusted Identity Platform, Retrieved from Internet: <https://www.acuantcorp.com/> [retrieved Oct. 30, 2019], 8 pages. [cited by applicant]
Bioid, Identity Proofing with BioID PhotoVerify: Know Your Customer with Confidence, Retrieved from Internet: <https://www.bioid.com/identity-proofing-photoverify/> [retrieved Oct. 30, 2019], 6 pages. [cited by applicant]
Bluecheck, Automated Photo ID Verification, Retrieved from Internet: <htlps://www.bluecheck.me/technologies/automated-photo-id-verification> [retrieved Oct. 30, 2019], 6 pages. [cited by applicant]
Innovatrics, DOT—Digital Onboarding Toolkit, Retrieved from Internet: <https://www.innovatrics.com/digital-onboarding-toolkit/> [retrieved Oct. 30, 2019], 6 pages. [cited by applicant]
Jumio, Jumio Authentication, Retrieved from Internet: <https://www.jumio.com/authentication/ [retrieved Oct. 30, 2019], 6 pages. [cited by applicant]
Mitek, Mobile Verify, Retrieved from Internet: <https://www.miteksystems.com/mobile-verify> [retrieved Oct. 30, 2019], 17 pages. [cited by applicant]
Onespan, Biometric Identity Verification: The Difference Between Facial Recognition and Facial Comparison Technology, Retrieved from Internet: <htlps://www.onespan.com/blog/biometric-identity-verification-difference-bet… [cited by applicant]
ONFIDO, A Guide to Digital Identity Verification: The Technology and Trends, Retrieved from Internet: <htlps://cdn2.hubspot.nel/hubfs/2109161/Final%20-%20Onfido%20Tech%20White%20Paper%20Oct%2018.pdf> [retrieved Oct. 30,… [cited by applicant]
Shuftipro, Document Verification: Verify IDs Anywhere, Anytime, Retrieved from Internet: <https://shuftipro.com/document-verification/> [retrieved Oct. 30, 2019], 6 pages. [cited by applicant]