Systems, methods and computer program products for determining document validity

• US 8,958,605 B2
• Filed: 02/07/2014
• Issued: 02/17/2015
• Est. Priority Date: 02/10/2009
• Status: Active Grant

• Current Assignee: Kofax Incorporated
• Original Assignee: Kofax Incorporated
• Inventors: Amtrup, Jan W., Thompson, Stephen Michael
• Primary Examiner(s): MARIAM, DANIEL G
• Application Number:
  US14/176,006
• Publication Number:
  US 20140153787A1
• Time in Patent Office: 375 Days
• Field of Search: None
• US Class Current: 382/112
• CPC Class Codes: G06F 40/00 Handling natural language data speech analysis or synthesis, speech recognition G10L
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06V 30/224 of printed characters having additional code marks or containing code marks
• CPC Class Codes: G06V 30/40 Document-oriented image-based pattern recognition
• 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 1/40 Picture signal circuits H04N1/387 takes precedence

Abstract

In one embodiment, a method includes performing optical character recognition (OCR) on an image of a financial document and at least one of: (a) correct OCR errors in the financial document using at least one of textual information from a complementary document and predefined business rules; (b) normalize data from the complementary document using at least one of textual information from the financial document and the predefined business rules; and (c) normalize data from the financial document using at least one of textual information from the complementary document and the predefined business rules. Exemplary systems and computer program products are also disclosed.

Claims

1. A system, comprising a processor;

and

logic in and/or executable by the processor and configured to cause the processor to;

perform optical character recognition (OCR) on an image of a financial document;

correct OCR errors in the financial document using at least one of textual information from a complementary document and predefined business rules; and

either

normalize data from the complementary document using at least one of textual information from the financial document and the predefined business rules;

or

normalize data from the financial document using at least one of textual information from the complementary document and the predefined business rules; and

determine whether the financial document is an eligible form of payment for a financial transaction based on one or more predetermined ranking criteria selected from;

an account associated with the financial document having a balance greater than or equal to a value of the financial transaction;

the account associated with the financial document having a credit limit greater than or equal to the value of the financial transaction;

the account associated with the financial document having an available credit amount greater than or equal to the value of the financial transaction;

the account associated with the financial document having an expiration date later than a date the financial transaction attempt is initiated;

the account associated with the financial document having associated therewith one or more of a benefit and a reward;

identifying data associated with the financial document matching identifying data provided in connection with the attempt to initiate the financial transaction;

the financial document having been used to process a prior financial transaction with an entity also corresponding to the attempted financial transaction

a frequency of use of some or all of the plurality of financial documents being greater than a minimum frequency of use threshold;

the frequency of use of some or all of the plurality of financial documents being less than a maximum frequency of use threshold;

a recency of use of some or all of the plurality of financial documents being more than a minimum recency threshold;

the recency of use of some or all of the plurality of financial documents being less than a maximum recency threshold;

a frequency of use of some or all of the plurality of financial documents in at least one financial transaction between the user and the entity corresponding to the attempted financial transaction; and

a recency of use of some or all of the plurality of financial documents in at least one financial transaction between the user and the entity corresponding to the attempted financial transaction.

2. The system as recited in claim 1, wherein the financial document comprises a gift card.

3. The system as recited in claim 2, further comprising logic configured to classify the financial document as a gift card from among a plurality of financial document classes including:

gift card, credit card, debit card, and check.

4. The system as recited in claim 2, further comprising logic configured to prompt a user for input relating to the gift card at least partially in response to detecting the OCR errors.

5. The system as recited in claim 2, wherein the identifier consists of characters selected from a predefined alphabet, wherein the predefined alphabet consists of either numerals, alphabetic characters, or symbols.

6. The system as recited in claim 2, wherein the extracted identifier comprises a date.

7. The system as recited in claim 1, further comprising logic configured to extract an identifier of the gift card from the image based on the gift card classification.

8. The system as recited in claim 7, wherein the identifier corresponds to one or more of a gift card account number, a gift card security code, a gift card expiration date, and a gift card issuing entity.

9. The system as recited in claim 3, wherein the identifier comprises a plurality of masked characters;

and wherein the extracted identifier comprises no mask symbols.

10. The system as recited in claim 1, wherein the complementary document comprises content of an electronic record in a database, and wherein the database further comprises financial information for an account corresponding to the gift card.

11. The system as recited in claim 1, wherein the textual information from the complementary document corresponds to a gift card identifier.

12. The system as recited in claim 1, wherein the textual information from the complementary document comprises an account balance corresponding to the gift card.

13. The system as recited in claim 1, further comprising logic configured to detect an attempt to initiate a financial transaction using the financial document.

14. The system as recited in claim 13, further comprising logic configured to prompt the user to capture the image of the financial document in response to detecting the attempt to initiate the financial transaction.

15. The system as recited in claim 1, wherein the financial document determined to be an eligible form of payment for the financial transaction is one of a plurality of eligible forms of payment for the financial transaction.

16. The system as recited in claim 1, wherein the predetermined ranking criteria correspond to a predetermined window of time.

17. The system as recited in claim 16, further comprising logic configured to determine the financial document is a preferred form of payment for the financial transaction based on the predetermined ranking criteria.

18. The system as recited in claim 17, further comprising logic configured to:

suggest the preferred form of payment to the user via a display of a mobile device;

receive user input relating to the suggestion, and either;

designate the preferred form of payment for the financial transaction in response to the user input confirming the suggestion;

or

designate another form of payment for the financial transaction in response to the user feedback negating the suggestion.