IP Library Granted Patent US 11,030,450
Granted Patent B2
US 11,030,450 · App. 16/421,001 · Granted Jun 8, 2021

System and method for determining originality of computer-generated images

Inventors: Noam Guzman (Ramat Hasharon, IL); Isaac Saft (Kfar Neter, IL)
Assignee: Vatbox, Ltd.
G06K9/00483G06K9/00469G06K9/3233G06K9/344G06K2209/01
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Quick Facts
Patent No.
US 11,030,450
App. No.
16/421,001
Granted
Jun 8, 2021
Kind
B2
Abstract

A method and system for determining originality of computer-generated images of document evidence. The method includes receiving a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source; generating a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs); searching in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROls, wherein the first array of ROIs substantially matches the second array of ROIs; and associating the at least one original document evidence with a first originality tag including a first certainty level of originality and the verified entity.

Claims (54)

1. A method for determining originality of computer-generated images of document evidence, comprising:

receiving a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source;

generating a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs);

searching in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROIs, wherein the first array of ROIs substantially matches the second array of ROIs, wherein the plurality of second images are associated with at least one verified entity; and

associating the at least one original document evidence with a first originality tag including a first certainty level of originality and the at least one verified entity, wherein the first certainty level is based on the match between the first array et ROIs and the second array of ROIs.

2. The method of claim 1 , wherein the first certainty level is determined based on a percentage of matching ROIs between the first array of ROIs and the second array of ROIs.

3. The method of claim 1 , further comprising: determining a second certainty level of originality for the at least one original document evidence based on contents of the first array of ROIs and the second array of ROIs.

4. The method of claim 3 , further comprising:

selecting at least a first ROI of the first electronic template containing a unique identifier of the at least one verified entity;

comparing a first data element stored in the first ROI to a second data element stored in a second ROI associated with a second template, wherein the second ROI containing the unique identifier of the at least one verified entity;

determining whether the first data element and the second data element match; and

associating the at least one original document evidence with at least second originality tag containing the at least one verified entity.

5. The method of claim 1 , wherein the approved source includes an approved optical character recognition (OCR) product.

6. The method of claim 1 , wherein a computer-generated image is determined to be an original document evidence based on a metadata associated with the corresponding computer-generated image.

7. The method of claim 1 , further comprising:

sending, to a server associated with the at least one verified entity, a request for receiving a copy of a computer-generated image corresponding to the at least one original document evidence; and

receiving the requested copy of the computer-generated image;

comparing the received copy of the computer-generated image to the at least one original document evidence;

based on the comparison, determining a third certainty level of originality; and

associating the at least one original document evidence with a third originality tag including the third certainty level of originality.

8. The method of claim 7 , further comprising:

processing the received copy using a computer vision technique.

9. The method of claim 1 , wherein the method is performed by a computing system.

10. The method of claim 1 , wherein each of the at least one original document evidence is at least expense evidence.

11. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process for determining originality of computer-generated images of document evidence, the process comprising:

receiving a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source;

generating a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs);

searching in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROIs, wherein the first array of ROIs substantially matches the second array of ROIs, wherein the plurality of second images are associated with at least one verified entity; and

associating the at least one original document evidence with a first originality tag including a first certainty level of originality and the at least one verified entity, wherein the first certainty level is based on the match between the first array of ROIs and the second array of ROIs.

12. A system for determining originality of computer-generated images of document evidence, comprising:

a processing circuitry; and a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

receive a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source;

generate a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs);

search in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROIs, wherein the first array of ROIs substantially matches the second array of ROIs, wherein the plurality of second images are associated with at least one verified entity; and

associate the at least one original document evidence with a first originality tag including a first certainty level of originality and the at least one verified entity, wherein the first certainty level is based on the match between the first array et ROIs and the second array of ROIs.

13. The system of claim 12 , wherein the first certainty level is determined based on a percentage of matching ROIs between the first array of ROIs and the second array of ROIs.

14. The system of claim 13 , wherein the system is further configured to:

determine a second certainty level of originality for the at least one original document evidence based on contents of the first array of ROIs and the second array of ROIs.

15. The system of claim 13 , wherein the system is further configured to:

select at least a first ROI of the first electronic template containing a unique identifier of the at least one verified entity;

compare a first data element stored in the first ROI to a second data element stored in a second ROI associated with a second template, wherein the second ROI containing the unique identifier of the at least one verified entity;

determine whether the first data element and the second data element match; and

associate the at least one original document evidence with at least second originality tag containing the at least one verified entity.

16. The system of claim 12 , wherein the approved source includes an approved optical character recognition (OCR) product.

17. The system of claim 12 , wherein a computer-generated image is determined to be an original document evidence based on a metadata associated with the corresponding computer-generated image.

18. The system of claim 12 , wherein the system is further configured to:

send, to a server associated with the at least one verified entity, a request for receiving a copy of a computer-generated image corresponding to the at least one original document evidence; and

receive the requested copy of the computer-generated image;

compare the received copy of the computer-generated image to the at least one original document evidence;

based on the comparison, determine a third certainty level of originality; and

associate the at least one original document evidence with a third originality tag including the third certainty level of originality.

19. The system of claim 18 , wherein the system is further configured to:

process the received copy using a computer vision technique.

20. The system of claim 12 , wherein each of the at least one original document evidence is at least expense evidence.

Assignments (3)
SECURITY INTEREST Recorded Sep 11, 2023
From: VATBOX LTD
To: BANK HAPOALIM B.M.
Reel/Frame 064863/0721 →
INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded Dec 4, 2019
From: VATBOX LTD
To: SILICON VALLEY BANK
Reel/Frame 051187/0764 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2019
From: GUZMAN, NOAM; SAFT, ISAAC
To: VATBOX, LTD.
Reel/Frame 049271/0610 →
Continuity (2)
Provisional Application 62678289 · May 31, 2018
Related Publication 20190370541A1 · Dec 5, 2019