Comparing extracted card data using continuous scanning

• US 8,805,125 B1
• Filed: 09/13/2013
• Issued: 08/12/2014
• Est. Priority Date: 06/28/2013
• Status: Expired due to Fees

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Rowley, Henry Allan, Wang, Xiaohang, Okshtein, Yakov, Shamsi, Farhan, Bissacco, Alessandro, Kumar, Sanjiv
• Primary Examiner(s): COUSO, YON JUNG
• Application Number:
  US14/026,479
• Time in Patent Office: 333 Days
• Field of Search: 382/309, 382/321, 382/181, 382/135, 382/137, 705/50, 235/375, 235/454
• US Class Current: 382/309
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06Q 20/322 Aspects of commerce using mobile devices [M-devices]
• CPC Class Codes: G06Q 20/327 Short range or proximity payments by means of M-devices
• CPC Class Codes: G06Q 20/34 using cards, e.g. integrated circuit [IC] cards or magnetic cards
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06T 17/00 Three dimensional [3D] modelling, e.g. data description of 3D objects
• CPC Class Codes: G06V 10/10 Image acquisition document image scanning and transmission H04N1/00; control of digital cameras H04N23/60
• CPC Class Codes: G06V 10/16 using multiple overlapping images; Image stitching
• CPC Class Codes: G06V 10/22 by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
• CPC Class Codes: G06V 10/98 Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
• CPC Class Codes: G06V 10/993 Evaluation of the quality of the acquired pattern
• CPC Class Codes: G06V 20/64 Three-dimensional objects
• CPC Class Codes: G06V 2201/12 Acquisition of 3D measurements of objects
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/142 using hand-held instruments; Constructional details of the instruments
• CPC Class Codes: G06V 30/153 using recognition of characters or words
• CPC Class Codes: G06V 30/224 of printed characters having additional code marks or containing code marks
• CPC Class Codes: G06V 30/416 Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors
• CPC Class Codes: G06V 30/418 Document matching, e.g. of document images

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.

Claims

1. A computer-implemented method to compare extracted card data, comprising:

receiving, by one or more computing devices, a digital scan of a card;

obtaining, by one or more computing devices, a plurality of images of the card from the digital scan of the card;

performing, by the one or more computing devices, an optical character recognition algorithm on each of the plurality of images;

comparing, by the one or more computing devices, results of the application of the optical character recognition algorithm for each of the plurality of images;

determining, by the one or more computing devices, if a configured threshold of the results for each of the plurality of images match each other; and

verifying, by the one or more computing devices, the results when the results for each of the plurality of images match each other.

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 when the one or more computing devices determines that the results do not match;

performing, by the one or more computing devices, the optical character recognition algorithm on each additional image of the physical card; and

including, by the one or more computing devices, the results of the application of the optical character recognition algorithm to each additional image in the comparing and determining steps.

3. The method of claim 2, wherein the at least one additional image is accessed from the obtained images.

4. The method of claim 2, wherein the at least one additional image is obtained via a second scan of the card.

5. The method of claim 1, wherein the results are determined to match when a percentage of matching digits meets or exceeds the configured threshold.

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

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

8. 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.

9. 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, comprising;

computer-readable program instructions to receive a digital scan of a card;

computer-readable program instructions to obtain a plurality of images of the card from the digital scan of the card;

computer-readable program instructions to perform an optical character recognition algorithm on each of the plurality of images;

computer-readable program instructions to compare results of the application of the optical character recognition algorithm for each of the plurality of images;

computer-readable program instructions to determine if a configured threshold of the results for each of the plurality of images match each other; and

computer-readable program instructions to verify the results when the results for each of the plurality of images match each other.

10. The computer program product of claim 9, the computer program further comprising:

computer-readable program instructions to access at least one additional digital image of the card when the one or more computing devices determines that the results do not match;

computer-readable program instructions to perform the optical character recognition algorithm on each additional image of the physical card; and

computer-readable program instructions to include the results of the application of the optical character recognition algorithm to each additional image in the comparing and determining steps.

11. The computer program product of claim 9, wherein the at least one additional image is accessed from the obtained images.

12. The computer program product of claim 9, wherein the at least one additional image is obtained via a second scan of the card.

13. The computer program product of claim 9, wherein the results are determined to match when a percentage of matching digits meets or exceeds the configured threshold.

14. The computer program product of claim 9, wherein the digital scan is received from a camera.

15. The computer program product of claim 9, wherein the digital scan comprises a video or a plurality of still images.

16. A system to compare extracted card data, the system comprising:

a storage resource;

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 physical card;

perform an optical character recognition algorithm on each of the plurality of images;

compare results of the application of the optical character recognition algorithm for each of the plurality of images;

determine if a configured threshold of the results for each of the plurality of images match each other; and

verify the results when the results for each of the plurality of images match each other.

17. The system of claim 16, the computer-readable instructions being configured to further cause the system to:

access at least one additional digital image of the card when the one or more computing devices determines that the results do not match;

perform the optical character recognition algorithm on each additional image of the card; and

include the results of the application of the optical character recognition algorithm to each additional image in the comparing and determining steps.

18. The system of claim 17, wherein the at least one additional image is accessed from the obtained images.

19. The system of claim 16, wherein the results are determined to match when a percentage of matching digits meets or exceeds the configured threshold.

20. The system of claim 16, wherein the card is a credit card, a debit card, an identification card, a loyalty card, an access card, or a stored value card.