Comparing extracted card data with user data

• US 8,879,783 B1
• Filed: 11/12/2013
• Issued: 11/04/2014
• Est. Priority Date: 06/28/2013
• Status: Expired due to Fees

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Wang, Xiaohang, Shamsi, Farhan, Kumar, Sanjiv, Rowley, Henry Allan, Mitchell, Marcus Quintana
• Primary Examiner(s): CHANG, JON CARLTON
• Application Number:
  US14/077,862
• Time in Patent Office: 357 Days
• Field of Search: None
• US Class Current: 382/100
• CPC Class Codes: G06K 7/10 by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
• CPC Class Codes: G06Q 20/3223 Realising banking transactions through M-devices
• CPC Class Codes: G06Q 20/326 Payment applications installed on the mobile devices
• CPC Class Codes: G06Q 20/3276 using a pictured code, e.g. barcode or QR-code, being read by the M-device
• CPC Class Codes: G06Q 20/34 using cards, e.g. integrated circuit [IC] cards or magnetic cards
• CPC Class Codes: G06Q 20/36 using electronic wallets or electronic money safes
• 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 30/224 of printed characters having additional code marks or containing code marks
• CPC Class Codes: G06V 30/2253 Recognition of characters printed with magnetic ink G06V30/2247 takes precedence
• 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: H04N 1/00307 with a mobile telephone apparatus constructional features of portable telephone sets H04M1/0202; mobile radio systems H04W84/00

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.

Claims

1. A computer-implemented method for extracting financial card information, comprising:

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

applying, by the one or more computing devices, an optical character recognition algorithm to the digital image of the financial 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 financial card;

determining, the one or more computing devices, a set of user data that indicates the identity of a user;

comparing, by the one or more computing devices, the identified name to the set of user data for the user to determine that the name correlates to the identity of the user in data from the set of user data; 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 the determination that the name correlates to the identity of the user in the 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 application data of the user.

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 financial 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 financial card information, comprising;

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

computer-readable program instructions to apply an optical character recognition algorithm to the digital image of the financial card to obtain a result;

computer-readable 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 financial card;

computer-readable program instructions to determine a set of user data that indicates the identity of the user;

computer-readable program instructions to compare the identified name to the set of user data for the user to determine that the name correlates to the identity of the user in data from the set of user data; and

computer-readable program instructions to determine a confidence level of the result of the optical character recognition algorithm based at least in part on the determination that the name correlates to the identity of the user in the 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 data from other financial accounts of the user.

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 financial card upon a determination that the confidence level is below a preconfigured threshold.

9. The computer program product of claim 6, further comprising:

computer-readable 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-readable 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 financial card information, 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 image of a financial card;

apply an optical character recognition algorithm to the digital image of the financial 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 financial card;

determine a set of user data that indicates the identity of the user;

compare the identified name to the set of user data for the user to determine that the user name correlates to the identity of the user in data from the set of user data; and

determine a confidence level of the result of the optical character recognition algorithm based at least in part on the determination that the name correlates to the identity of the user in the 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 application data of the user.

13. The system of claim 11, further comprising computer-executable program instructions that cause the system to reapply the optical character recognition algorithm to the digital image of the financial 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, further comprising computer-executable program instructions that 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.