Comparing extracted card data with user data

Patent metadata

Field	Value
Publication number	US-10055663-B2
Application number	US-201615229071-A
Country	US
Kind code	B2
Filing date	Aug 4, 2016
Priority date	Jun 28, 2013
Publication date	Aug 21, 2018
Grant date	Aug 21, 2018

Abstract

Extracting card data comprises receiving, by one or more computing devices, a digital image of a card; perform an image recognition process on the digital representation of the card; identifying an image in the digital representation of the card; comparing the identified image to an image database comprising a plurality of images and determining that the identified image matches a stored image in the image database; determining a card type associated with the stored image and associating the card type with the card based on the determination that the identified image matches the stored image; and performing a particular optical character recognition algorithm on the digital representation of the card, the particular optical character recognition algorithm being based on the determined card type. Another example uses an issuer identification number to improve data extraction. Another example compares extracted data with user data to improve accuracy.

First claim

What is claimed is:

1. A computer-implemented method to extract card information, comprising:
applying, by the one or more computing devices, an optical character recognition algorithm to a digital image of a card to obtain a result;
identifying, by the one or more computing devices, a name associated with the card based on information obtained via application of the optical character recognition algorithm to the digital image of the card;
determining, by the one or more computing devices, a set of user data that indicates an identity of a user; and
determining, by the one or more computing devices, a confidence level of the result of the optical character recognition algorithm based at least in part on a comparison of the identified name to the set of user data indicating that the name correlates to data from the set of user data.

2. The method of claim 1 , wherein the set of user data comprises one or more of a contact list of the user, social network data of the user, or email applications.

3. The method of claim 1 , further comprising reapplying, by the one or more computing devices, the optical character recognition algorithm to the digital image of the card upon a determination that the confidence level is below a preconfigured threshold.

4. The method of claim 1 , further comprising:
requesting, by the one or more computing devices, an input of a revision of the identified name upon a determination that the confidence level is below a threshold validation; and
receiving, by the one or more computing devices, the input of the revision of the identified name.

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

6. 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 extract card information, comprising:
computer-executable program instructions to apply an optical character recognition algorithm to a digital image of a card to obtain a result;
computer-executable program instructions to identify a name associated with the card based on information obtained via application of the optical character recognition algorithm to the digital image of the card;
computer-executable program instructions to determine a set of user data that indicates an identity of a user; and
computer-executable program instructions to determine a confidence level of the result of the optical character recognition algorithm based at least in part on a comparison of the identified name to the set of user data indicating that the name correlates to data from the set of user data.

7. The computer program product of claim 6 , wherein the set of user data comprises one or more of a contact list of the user, social network data of the user, or email applications.

8. The computer program product of claim 6 , further comprising computer-executable program instructions to reapply the optical character recognition algorithm to the digital image of the card upon a determination that the confidence level is below a preconfigured threshold.

9. The computer program product of claim 6 , further comprising:
computer-executable program instructions to request an input of a revision of the identified name upon a determination that the confidence level is below a threshold validation; and
computer-executable program instructions to receive the input of the revision of the identified name.

10. The computer program product of claim 6 , wherein the card comprises a credit card, a debit card, an identification card, a loyalty card, an access card, or a stored value card.

11. A system to extract card information, 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 to cause the system to:
apply an optical character recognition algorithm to a digital image of a card to obtain a result;
identify a name associated with the card based on information obtained via application of the optical character recognition algorithm to the digital image of the card;
determine a set of user data that indicates an identity of a user; and
determine a confidence level of the result of the optical character recognition algorithm based at least in part on a comparison of the identified name to the set of user data indicating that the name correlates to data from the set of user data.

12. The system of claim 11 , wherein the set of user data comprises one or more of a contact list of the user, social network data of the user, or email applications.

13. The system of claim 11 , wherein the processor executes instructions stored in the storage resource to further cause the system to reapply the optical character recognition algorithm to the digital image of the card upon a determination that the confidence level is below a preconfigured threshold.

14. The system of claim 11 , wherein the card comprises a credit card, a debit card, an identification card, a loyalty card, an access card, or a stored value card.

15. The system of claim 11 , wherein the processor executes instructions stored in the storage resource to further cause the system to:
request an input of a revision of the identified user name upon a determination that the confidence level is below a threshold validation; and
receive the input of the revision of the identified name.

Assignees

• Google Llc

Inventors

• Wang Xiaohang
• Shamsi Farhan
• Kumar Sanjiv
• Rowley Henry Allan
• Mitchell Marcus Quintana

Classifications

• G06V30/416 Primary

  Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors · CPC title

• G06V30/2253

  Recognition of characters printed with magnetic ink (G06V30/2247 takes precedence) · CPC title

• G06V30/10

  Character recognition · CPC title

• G06Q20/36

  using electronic wallets or electronic money safes · CPC title

• G06Q20/3223

  Realising banking transactions through M-devices · CPC title