# US 12,217,260 B2 · Systems and methods for automated identity verification > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,217,260 B2 - Document ID: US12217260B2 - Status: Granted - Kind: B2 - Application number: 18/387,613 - Filed: 2023-11-07 - Published: 2024-05-02 - Granted: 2025-02-04 - Earliest claimed: 2020-04-15 - Assignees: Capital One Services, LLC - Applicants: Capital One Services, LLC - Inventors: Austen Novis; Eric Loucks - Web page: https://patentgrep.com/patent/US12217260B2 ## CPC - G06Q 20/40145: {Biometric identity checks} - G06F 3/1222: {Increasing security of the print job} - G06F 3/1238: {Secure printing, e.g. user identification, user rights for device usage, unallowed content, blanking portions or fields of a page, releasing held jobs} - G06F 3/1243: {Variable data printing, e.g. document forms, templates, labels, coupons, advertisements, logos, watermarks, transactional printing, fixed content versioning} - G06N 5/04: Inference or reasoning models - G06Q 20/18: involving self-service terminals [SST], vending machines, kiosks or multimedia terminals - G06N 20/00: Machine learning - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract A system and method in accordance with examples may include an identity verification kiosk. The identity verification kiosk may include a display comprising a user interface; a card reader; a document scanner; a printer; and a processor in data communication with a server and a database storing user information. The processor may be configured to receive an identification verification request from the user interface; receive user information via the document scanner or the card reader; retrieve user information from the database; verify the identity of a user; and print a unique identifier on a document using the printer. ## Claims ### Claim 1 A system, comprising: a processor; and an imaging device, wherein the processor receives image data from the imaging device and verifies an identity of a user based at least in part on the received image data, the processor applies a predictive model to determine a marking location on a document of the user, and the processor witnesses the document by marking a unique identifier at the marking location. ### Claim 2 (depends on 1) The system of claim 1, further comprising a printer, wherein the printer prints the unique identifier at the marking location. ### Claim 3 (depends on 1) The system of claim 1, wherein the unique identifier encodes information associated with at least one selected from a group consisting of a date the unique identifier was printed, a time the unique identifier was printed, and a location the unique identifier was printed. ### Claim 4 (depends on 1) The system of claim 1, further comprising an input device comprising at least one selected from a group consisting of a document scanner, a card reader, and a fingerprint scanner, wherein the processor receives user information from the input device, and wherein the processor compares the received user information to previously received user information stored in a database. ### Claim 5 (depends on 1) The system of claim 1, further comprising a fingerprint scanner, wherein the processor receives a fingerprint associated with the user from the fingerprint scanner, and the processor compares the received fingerprint with a previously received fingerprint stored in a database. ### Claim 6 (depends on 1) The system of claim 1, wherein the document comprises at least one selected from a group consisting of a cashier's check and a certified check. ### Claim 7 (depends on 1) The system of claim 1, further comprising a document scanner, wherein the document scanner scans the document after the printer prints the unique identifier. ### Claim 8 A non-transitory computer-accessible medium containing executable instructions, wherein, when executed by a computer hardware arrangement comprising a processor and an imaging device, and the computer hardware arrangement is configured to perform procedures comprising: receiving image data from the imaging device and verifying an identity of a user based at least in part on the received image data, applying a predictive model to determine a marking location on a document of the user, and witnessing the document by marking a unique identifier at the marking location. ### Claim 9 (depends on 8) The non-transitory computer-accessible medium of claim 8, wherein the predictive model is developed by machine learning using at least one algorithm selected from a group consisting of a gradient boosting machine algorithm, a logistic regression algorithm, and a neural network algorithm to develop the predictive model. ### Claim 10 (depends on 8) The non-transitory computer-accessible medium of claim 8, wherein the unique identifier comprises a computer-readable image and a timestamp. ### Claim 11 (depends on 8) The non-transitory computer-accessible medium of claim 8, wherein the unique identifier comprises a non-sequential identifier. ### Claim 12 (depends on 11) The non-transitory computer-accessible medium of claim 11, wherein the non-sequential identifier is pseudo-randomly generated. ### Claim 13 (depends on 8) The non-transitory computer-accessible medium of claim 8, the procedures further comprising: collecting identification information associated with the user; and collecting live biometric data associated with the user. ### Claim 14 (depends on 13) The non-transitory computer-accessible medium of claim 13, the procedures further comprising: receiving biometric information associated with the user from an identification document; and comparing the document biometric information to the live biometric information. ### Claim 15 (depends on 13) The non-transitory computer-accessible medium of claim 13, wherein: collecting live biometric data comprises receiving image data associated with the user's face, and the procedures further comprise establishing a facial recognition fingerprint based on the image data associated with the user's face. ### Claim 16 (depends on 13) The non-transitory computer-accessible medium of claim 13, the procedures further comprises requesting a consent from the user to collect the identification information or biometric information associated with the user. ### Claim 17 (depends on 8) The non-transitory computer-accessible medium of claim 8, the procedures further comprises printing the unique identifier at the marking location. ### Claim 18 A method, comprising: receiving, by a processor, image data from an imaging device and verifying an identity of a user based at least in part on the received image data; applying, by the processor, a predictive model to determine a marking location on a document of the user; and witnessing, by the processor, the document by marking a unique identifier at the marking location. ### Claim 19 (depends on 18) The method of claim 18, further comprising printing, by a printer, a unique identifier at the marking location. ### Claim 20 (depends on 18) The method of claim 18, wherein the unique identifier encodes information associated with at least one selected from a group consisting of a date, a time, and a location the unique identifier was printed. ### Claim 21 (depends on 18) The method of claim 18, further comprising: receiving information associated with a previously printed unique identifier; and determining a difference between the document and a previously marked document.