Comparing extracted card data using continuous scanning

Patent metadata

Field	Value
Publication number	US-10515290-B2
Application number	US-201715678990-A
Country	US
Kind code	B2
Filing date	Aug 16, 2017
Priority date	Jun 28, 2013
Publication date	Dec 24, 2019
Grant date	Dec 24, 2019

Abstract

Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

First claim

What is claimed is:

1. A computer-implemented method to compare extracted card data using continuous scanning, comprising:
receiving, by one or more computing devices, a digital scan of a card from a camera;
obtaining, by the one or more computing devices, a plurality of images of the card from the digital scan of the card;
creating, by the one or more computing devices, a first three-dimensional model of the card that captures embossed text that is displayed on the card based upon a digital manipulation of the plurality of images;
comparing, by the one or more computing devices, the first three-dimensional model of the card displaying the embossed text to a standard three-dimensional model of the card depicting the embossed text on the card;
determining, by the one or more computing devices, that perspectives of the first three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text; and
verifying, by the one or more computing devices, the first three-dimensional model of the embossed text based on the determination that the perspectives of the first three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text.

2. The method of claim 1 , further comprising:
accessing, by the one or more computing devices, at least one additional digital image of the card based on a determination by the one or more computing devices that the three-dimensional model of the embossed text does not match the standard three-dimensional model of the embossed text;
creating, by the one or more computing devices, a second three-dimensional model of the card that captures the embossed text based upon the additional digital images and at least a portion of the plurality of images;
comparing, by the one or more computing devices, the second three-dimensional model of the embossed text to the standard three-dimensional model of the embossed text;
determining, by the one or more computing devices, if perspectives of the second three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text; and
verifying, by the one or more computing devices, the second three-dimensional model of the embossed text when the perspectives of the second three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text.

3. The method of claim 2 , wherein the one or more computing devices receive the at least one additional digital image from the obtained plurality of images.

4. The method of claim 2 , wherein the one or more computing devices receives the at least one additional digital image via a second scan of the card by the camera.

5. The method of claim 1 , wherein the digital scan is received from a camera.

6. The method of claim 1 , wherein the digital scan comprises a video or a plurality of still images.

7. The method of claim 1 , wherein the card is a credit card, a debit card, an identification card, a loyalty card, an access card, or a stored value card.

8. A computer program product, comprising:
a non-transitory computer-readable storage device having computer-executable program instructions embodied thereon that when executed by a computer cause the computer to compare extracted card data using continuous scanning, the computer-executable program instructions comprising:
computer-executable program instructions to receive a digital scan of a card;
computer-executable program instructions to obtain a plurality of images of the card from the digital scan of the card;
computer-executable program instructions to create a first three-dimensional model of the card that captures embossed text that is displayed on the card based upon a digital manipulation of the plurality of images;
computer-executable program instructions to compare the first three-dimensional model of the card displaying the embossed text to a standard three-dimensional model of the card depicting the embossed text on the card;
computer-executable program instructions to determine that perspectives of the first three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text; and
computer-executable program instructions to verify the first three-dimensional model of the embossed text based on the determination that the perspectives of the first three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text.

9. The computer program product of claim 8 , the computer program further comprising:
computer-executable program instructions to access at least one additional digital image of the card;
computer-executable program instructions to create a second three-dimensional model of the card that captures the embossed text based upon the additional digital images and at least a portion of the plurality of images;
computer-executable program instructions to compare the second three-dimensional model of the embossed text to the standard three-dimensional model of the embossed text; and
computer-executable program instructions to determine if perspectives of the second three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text.

10. The computer program product of claim 8 , wherein the computer receives the at least one additional digital image from the obtained plurality of images.

11. The computer program product of claim 8 , wherein the computer receives the at least one additional digital image via a second scan of the card.

12. The computer program product of claim 8 , wherein the digital scan is received from a camera.

13. The computer program product of claim 8 , wherein the digital scan comprises a video or a plurality of still images.

14. A system to compare extracted card data, the system comprising:
a storage resource; and
a processor communicatively coupled to the storage resource, wherein the processor is configured to execute computer-readable instructions that are stored in the storage resource and that cause the system to:
receive a digital scan of a card;
obtain a plurality of images of the card from the digital scan of the card;
create a first three-dimensional model of the card that captures embossed text that is displayed on the card based upon a digital manipulation of the plurality of images;
compare the first three-dimensional model of the card displaying the embossed text to a standard three-dimensional model of the card depicting the embossed text on the card; and
determine that perspectives of the first three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text.

15. The system of claim 14 , the computer-readable instructions being configured to further cause the system to:
access at least one additional digital image of the card;
create a second three-dimensional model of the card that captures the embossed text based upon the additional digital images and at least a portion of the plurality of images;
compare the second three-dimensional model of the embossed text to the standard three-dimensional model of the embossed text; and
determine if perspectives of the second three-dimensional model of the embossed text match the standard three-dimensional model of the embossed text.

16. The system of claim 15 , wherein the at least one digital additional image is accessed from the obtained plurality of images.

17. The system of claim 14 , wherein the card is a credit card, a debit card, an identification card, a loyalty card, an acce

Assignees

• Google Llc

Inventors

• Wang Xiaohang
• Mitchell Marcus Quintana

Classifications

• G06F18/22

  Matching criteria, e.g. proximity measures · CPC title

• G06V20/64 Primary

  Three-dimensional [3D] objects · CPC title

• G06Q20/327

  Short range or proximity payments by means of M-devices · CPC title

• G06T17/00

  Three-dimensional [3D] modelling for computer graphics · CPC title

• G06Q20/322

  Aspects of commerce using mobile devices [M-devices] · CPC title