Reducing false positives in entity matching based on image-linking graphs

Abstract

Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image- linking graph. 1006855136 20 26 23 41 19 18 S ep 2 02 6 A B S T R A C T 2 0 2 6 2 3 4 1 1 9 1 8 S e p 2 0 2 6 4 8 6 7 - 8 3 0 0 - 7 5 1 8 v . 1

Description

[00078] The components of the computer system 500 also include a system memory component 510 (e.g., RAM), a static storage component 516 (e.g., ROM), and / or a disk drive 518 (e.g., a solid-state drive, a hard drive). The computer system 800 performs specific operations by the processor 514 and other components by executing one or more sequences of instructions contained in the system memory component 510. For example, the processor 514 can perform the identity verification functionalities described herein, for example, according to the process 400.

[00079] Logic may be encoded in a computer readable medium, which may refer to any medium that participates in providing instructions to the processor 514 for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. In various implementations, non-volatile media includes optical or magnetic disks, volatile media includes dynamic memory, such as the system memory component 510, and transmission media includes coaxial cables, copper wire, and fiber optics, including wires that comprise the bus 512. In one embodiment, the logic is encoded in non-transitory computer readable medium. In one example, transmission media may take the form of acoustic or light waves, such as those generated during radio wave, optical, and infrared data communications.

[00080] Some common forms of computer readable media include, for example, floppy disk, flexible disk, hard disk, magnetic tape, any other magnetic medium, CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, RAM, PROM, EPROM, FLASH-EPROM, any other memory chip or cartridge, or any other medium from which a computer is adapted to read.

[00081] In various embodiments of the present disclosure, execution of instruction sequences to practice the present disclosure may be performed by the computer system 500. 2026234119   18 Sep 2026 In various other embodiments of the present disclosure, a plurality of computer systems 500 coupled by the communication link 524 to the network (e.g., such as a LAN, WLAN, PTSN, and / or various other wired or wireless networks, including telecommunications, mobile, and cellular phone networks) may perform instruction sequences to practice the present disclosure in coordination with one another.

[00082] Where applicable, various embodiments provided by the present disclosure may be implemented using hardware, software, or combinations of hardware and software. Also, where applicable, the various hardware components and / or software components set forth herein may be combined into composite components comprising software, hardware, and / or both without departing from the spirit of the present disclosure. Where applicable, the various hardware components and / or software components set forth herein may be separated into sub-components comprising software, hardware, or both without departing from the scope of the present disclosure. In addition, where applicable, it is contemplated that software components may be implemented as hardware components and vice-versa.

[00083] Software in accordance with the present disclosure, such as program code and / or data, may be stored on one or more computer readable mediums. It is also contemplated that software identified herein may be implemented using one or more general purpose or specific purpose computers and / or computer systems, networked and / or otherwise. Where applicable, the ordering of various steps described herein may be changed, combined into composite steps, and / or separated into sub-steps to provide features described herein.

[00084] The various features and steps described herein may be implemented as systems comprising one or more memories storing various information described herein and one or more processors coupled to the one or more memories and a network, wherein the one or more processors are operable to perform steps as described herein, as non-transitory machine-readable medium comprising a plurality of machine-readable instructions which, when executed by one or more processors, are adapted to cause the one or more processors to perform a method comprising steps described herein, and methods performed by one or more devices, such as a hardware processor, user device, server, and other devices described herein.

[00085] By way of clarification and for avoidance of doubt, as used herein and except where the context requires otherwise, the term "comprise" and variations of the term, such as "comprising", "comprises" and "comprised", are not intended to exclude further additions, components, integers or steps.

Claims

1. A system, comprising:a memory storing instructions; andone or more hardware processors coupled with the memory and configured to execute the instructions to cause the system to:obtain an image of a first person associated with a user account;access a graph associated with an entity, wherein the graph links a plurality of persons associated with the entity based on one or more images associated with the entity, and wherein two persons from the plurality of persons are linked in the graph when the two persons appear in at least one image of the one or more images associated with the entity;determine a first position of the first person within the graph based on the image of the first person;identify a second person who has a particular type of relationship with the entity based on a second position of the second person in the graph;determine a level of connectedness between the first person and the second person in the graph; andperform an action to the user account based on the first position of the first person within the graph and the level of connectedness between the first person and the second person.

2. The system of claim 1, wherein executing the instructions further causes the system to:detect that the first person is in the one or more images.

3. The system of claim 1 or 2, wherein the entity corresponds to a particular type of entity, and wherein performing the action is further based on the particular type of entity and comprises removing access to one or more resources of the system from the user account.

4. The system of any one of claims 1-3, wherein the entity corresponds to a particular type of entity, and wherein performing the action is further based on the particular type of entity and comprises providing the user account access to one or more resources of the2026234119   18 Sep 2026system.

5. The system of any one of claims 1-4, wherein executing the instructions further causes the system to:identify one or more persons in the graph who are connected to the first person, wherein performing the action is further based on the one or more persons identified in the graph.

6. The system of any one of claims 1-5, wherein the level of connectedness is determined based on at least one of a number of connections between the first person and the second person in the graph or a weight associated with each of the connections between the first person and the second person.

7. The system of any one of claims 1-6, wherein the user account is a first user account, and wherein executing the instructions further causes the system to: access transaction data associated with one or more transactions conducted between the first user account and a second user account of the second person, wherein performing the action is further based on the transaction data.

8. A method comprising:receiving, by a computer system, a transaction request associated with a first user account;accessing, by the computer system, a graph associated with an entity, wherein the graph links a plurality of persons associated with the entity based on one or more images associated with the entity, and wherein two persons from the plurality of persons are linked in the graph when the two persons appear in at least one image of the one or more images associated with the entity;determining, by the computer system, a first position of a first person associated with the first user account within the graph based on an image of the first person;identifying, by the computer system, a second person who has a particular type of relationship with the entity based on a second position of the second person in the graph:accessing, by the computer system, transaction data associated with transactions2026234119   18 Sep 2026conducted between the first user account and a second user account of the second person: and determining, by the computer system, whether to authorize the transaction request, deny the transaction request, or prompt the first person for information based on the first position of the first person and the transaction data.

9. The method of claim 8, further comprising:determining a transaction pattern for the transactions conducted between the first user account and the second user account, wherein the determining whether to authorize the transaction request, deny the transaction request, or prompt the person for information is further based on the transaction pattern.

10. The method of any one of claims 8-9, wherein the second person is a leader of the entity.

11. The method of any one of claims 8-10, further comprising: predicting that the first person is associated with the entity based on attributes associated with the first person.

12. The method of any one of claims 8-11, wherein the one or more images are retrieved from a plurality of sources comprises at least one of a news outlet, a social media platform, or a website of an organization.

13. The method of any one of claims 8-12, further comprising:determining a relatedness between the first person and the second person in the graph, wherein the determining whether to authorize the transaction request, deny the transaction request, or prompt the first person for information is further based on the relatedness between the first person and the second person.

14. The method of claim 13, wherein the relatedness between the first person and the second person is determined based on at least one of a number of connections between the first person and the second person in the graph or a weight associated with each of the connections between the first person and the second person.

15. A machine-readable medium having stored thereon machine-readable2026234119   18 Sep 2026instructions executable to cause a machine to perform operations comprising:receiving, from a device of a first person, a request to conduct a transaction through a user account with a service provider;obtaining an image of the first person;accessing a graph associated with an entity, wherein the graph links a plurality of persons associated with the entity based on one or more images associated with the entity, and wherein two persons from the plurality of persons are linked in the graph when the two persons appear in at least one image of the one or more images associated with the entity;determining a first position of the first person within the graph based on the image of the first person;identifying a second person who has a particular type of relationship with the entity based on a second position of the second person in the graph: determining a level of connectedness between the first person and the second person in the graph; anddetermining how to process the transaction based on the first position of the first person in the graph and the level of connectedness between the first person and the second person.

16. The machine-readable medium of claim 15, wherein the entity corresponds to a user of the user account.

17. The machine-readable medium of claim 15 or 16, wherein the operations further comprise:processing the transaction based on the determining how to process the transaction.

18. The machine-readable medium of any one of claims 15-17, wherein the operations further comprise:identifying one or more persons in the graph who are connected to the first person, wherein the determining how to process the transaction is further based on the one or more persons connected to the first person in the graph.

19. The machine-readable medium of any one of claims 15-18, wherein the level of connectedness is determined based on at least one of a number of connections between the first person and the second person in the graph or a weight associated with each of the2026234119   18 Sep 2026connections between the first person and the second person.

20. The machine-readable medium of any one of claims 15-19, wherein the user account is a first user account, and wherein the operations further comprise:accessing transaction data associated with one or more transactions conducted between the first user account and a second user account of the second person, wherein the determining how to process the transaction is further based on the transaction data.

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