IP Library › Granted Patent US 10,839,243

Granted Patent B2

US 10,839,243 · App. 16/157,326 · Granted Nov 17, 2020

Image evaluation and dynamic cropping system

Inventors: Robert E. Mills, Jr. (Stockbridge, GA); Murali Santhanam (Naperville, IL); Kerry Kurt Simpkins (Fort Mill, SC); John B. Hall (Charlotte, NC); Michael J. Pepe, Jr. (Wilmington, DE); Jasher David Fowles (Davidson, NC); Jeanne Moulton (Concord, NC)

Assignee: Bank of America Corporation

G06K9/32 G06K9/00483 G06K9/6202 G06T3/4023 G06T7/0002 G06T7/50 G06T7/60 G06T2210/22

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Quick Facts

Patent No.: US 10,839,243
App. No.: 16/157,326
Granted: Nov 17, 2020
Kind: B2

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Abstract

Systems for image evaluation and dynamic cropping are provided. In some examples, a system, may receive an instrument or image of an instrument. Identifying information may be extracted from the instrument or image of the instrument. Based on the extracted identifying information, a check/check image profile may be retrieved. In some examples, expected size and/or shape data may be extracted from the check/check image profile. The extracted expected size and/or shape data may be compared to size and/or shape data from the received instrument or image of the instrument to identify any anomalies (e.g., to determine whether the expected size and/or shape data matches the size and/or shape data of the received instrument or image of the instrument. If the expected size and/or shape data does not match size and/or shape data from the received instrument or image of the instrument, the instrument or image of the instrument may be programmatically modified and a modified image of the instrument may be generated.

Claims (76)

1. A computing platform, comprising:

at least one processor;

a communication interface communicatively coupled to the at least one processor; and

memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

receive an image of a document;

extract, from the received image of the document, identifying information;

retrieve, based on the extracted identifying information, a document profile;

extract, from the document profile, at least one of: expected size data and expected shape data of the document;

compare at least one of: size data and shape data of the document in the received image of the document to the extracted at least one of: expected size data and expected shape data;

determine, based on the comparing, whether the at least one of: size data and shape data of the document in the received image matches the extracted at least one of: expected size data and expected shape data;

responsive to determining that the at least one of: size data and shape data of the document in the received image matches the extracted at least one of: expected size data and expected shape data, further process the image of the document; and

responsive to determining that the at least one of: size data and shape data of the document in the received image does not match the extracted at least one of: expected size data and expected shape data:

programmatically modify the received image of the document;

generate a modified image of the document based on the programmatically modified received image of the document; and

further process the modified image of the document.

2. The computing platform of claim 1 , wherein programmatically modifying the received image of the document includes programmatically cropping the image of the document.

3. The computing platform of claim 1 , wherein further processing the image of the document further includes evaluating a validity of the image of the document.

4. The computing platform of claim 1 , wherein further processing the modified image of the document further includes evaluating a validity of the modified image of the document.

5. The computing platform of claim 1 , wherein comparing at least one of: size data and shape data of the document in the received image of the document to the extracted at least one of: expected size data and expected shape data further includes:

identifying pixel coordinates corresponding to an edge of the document in the image of the document; and

comparing the identified pixel coordinates to corresponding pixel coordinates in the extracted at least one of: expected size data and expected shape data.

6. The computing platform of claim 1 , wherein programmatically modifying the received image of the document further includes:

generating a bounding box around a region of the image of the document corresponding to the at least one of: size data and shape data of the document in the received image that does not match the extracted at least one of: expected size data and expected shape data; and

deleting data within the bounding box.

7. The computing platform of claim 1 , wherein programmatically modifying the received image of the document further includes:

identifying pixel coordinates corresponding to a region of the image of the document that includes the at least one of: size data and shape data of the document in the received image that does not match the extracted at least one of: expected size data and expected shape data; and

deleting pixels associated with the identified pixel coordinates.

8. A method, comprising:

at a computing platform comprising at least one processor, memory, and a communication interface:

receiving, by the at least one processor and via the communication interface, an image of a document;

extracting, by the at least one processor and from the received image of the document, identifying information;

retrieving, by the at least one processor and based on the extracted identifying information, a document profile;

extracting, by the at least one processor and from the document profile, at least one of: expected size data and expected shape data of the document;

comparing, by the at least one processor, at least one of: size data and shape data of the document in the received image of the document to the extracted at least one of: expected size data and expected shape data;

determining, by the at least one processor and based on the comparing, whether the at least one of: size data and shape data of the document in the received image matches the extracted at least one of: expected size data and expected shape data;

programmatically modifying, by the at least one processor, the received image of the document;

generating, by the at least one processor, a modified image of the document based on the programmatically modified received image of the document; and

further processing the modified image of the document.

9. The method of claim 8 , wherein programmatically modifying the received image of the document includes programmatically cropping the image of the document.

10. The method of claim 8 , wherein further processing the image of the document further includes evaluating a validity of the image of the document.

11. The method of claim 8 , wherein further processing the modified image of the document further includes evaluating a validity of the modified image of the document.

12. The method of claim 8 , wherein comparing, by the at least one processor, at least one of: size data and shape data of the document in the received image of the document to the extracted at least one of: expected size data and expected shape data further includes:

identifying, by the at least one processor, pixel coordinates corresponding to an edge of the document in the image of the document; and

comparing, by the at least one processor, the identified pixel coordinates to corresponding pixel coordinates in the extracted at least one of: expected size data and expected shape data.

13. The method of claim 8 , wherein programmatically modifying the received image of the document further includes:

generating, by the at least one processor, a bounding box around a region of the image of the document corresponding to the at least one of: size data and shape data of the document in the received image that does not match the extracted at least one of: expected size data and expected shape data; and

deleting, by the at least one processor, data within the bounding box.

14. The method of claim 8 , wherein programmatically modifying the received image of the document further includes:

identifying, by the at least one processor, pixel coordinates corresponding to a region of the image of the document that includes the at least one of: size data and shape data of the document in the received image that does not match the extracted at least one of: expected size data and expected shape data; and

deleting, by the at least one processor, pixels associated with the identified pixel coordinates.

15. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

receive an image of a document;

extract, from the received image of the document, identifying information;

retrieve, based on the extracted identifying information, a document profile;

extract, from the document profile, at least one of: expected size data and expected shape data of the document;

compare at least one of: size data and shape data of the document in the received image of the document to the extracted at least one of: expected size data and expected shape data;

programmatically modify the received image of the document;

generate a modified image of the document based on the programmatically modified received image of the document; and

further processing the modified image of the document.

16. The one or more non-transitory computer-readable media of claim 15 , wherein programmatically modifying the received image of the document includes programmatically cropping the image of the document.

17. The one or more non-transitory computer-readable media of claim 15 , wherein further processing the image of the document further includes evaluating a validity of the image of the document.

18. The one or more non-transitory computer-readable media of claim 15 , wherein further processing the modified image of the document further includes evaluating a validity of the modified image of the document.

19. The one or more non-transitory computer-readable media of claim 15 , wherein comparing at least one of: size data and shape data of the document in the received image of the document to the extracted at least one of: expected size data and expected shape data further includes:

identifying pixel coordinates corresponding to an edge of the document in the image of the document; and

comparing the identified pixel coordinates to corresponding pixel coordinates in the extracted at least one of: expected size data and expected shape data.

20. The one or more non-transitory computer-readable media of claim 15 , wherein programmatically modifying the received image of the document further includes:

deleting data within the bounding box.

21. The one or more non-transitory computer-readable media of claim 15 , wherein programmatically modifying the received image of the document further includes:

deleting pixels associated with the identified pixel coordinates.

Assignments (1)

ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 11, 2018

From: MILLS, ROBERT E., JR.; SANTHANAM, MURALI; SIMPKINS, KERRY KURT; HALL, JOHN B.; PEPE, MICHAEL J., JR.; FOWLES, JASHER DAVID; MOULTON, JEANNE

To: BANK OF AMERICA CORPORATION

Reel/Frame 047133/0137 →

Continuity (1)

Related Publication 20200117934A1 · Apr 16, 2020