SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY

• US 20140153787A1
• Filed: 02/07/2014
• Published: 06/05/2014
• Est. Priority Date: 02/10/2009
• Status: Active Grant

• Current Assignee: Kofax Incorporated
• Original Assignee: Kofax Incorporated
• Inventors: Schmidtler, Mauritius A.R., Borrey, Roland G., Thompson, Stephen Michael, Amtrup, Jan W.
• Granted Patent: US 8,958,605 B2
• Time in Patent Office: Days
• 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 riles. Exemplary systems and computer program products are also disclosed.

Claims

1. A method, comprising:

performing optical character recognition (OCR) on an image of a financial document and

at least one of;

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

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

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

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

3. The method as recited in claim 2, further comprising capturing the image of the gift card using a camera of a mobile device;

and

storing the captured image of the gift card to a memory of the mobile device.

4. The method as recited in claim 2, further comprising extracting an identifier of the gift card from the image.

5. The method as recited in claim 4, wherein the identifier comprises one or more of an account number and a security code.

6. The method as recited in claim 4, wherein one or more of:

the textual information from the gift card; and

the OCR errors in the gift card comprise the extracted identifier.

7. The method as recited in claim 4, wherein the textual information from the complementary document corresponds to the extracted identifier.

8. The method as recited in claim 2, further comprising detecting the OCR errors based at least in part on the textual information from the complementary document and the predefined business rules.

9. The method as recited in claim 2, further comprising prompting a user for input relating to the gift card.

15. The method as recited in claim 2, wherein the complementary document comprises content of an electronic record in a database.

17. The method as recited in claim 2, wherein the textual information from the complementary document corresponds to a gift card identifier.

18. The method as recited in claim 2, wherein the textual information from the complementary document comprises an account balance corresponding to the gift card.

10. The method as recited in claim 10, wherein the prompting occurs at least partially in response to detecting the OCR errors.

11. The method as recited in claim 10, further comprising receiving the user input via a mobile device.

12. The method as recited in claim 10, wherein the user input relates to at least one of:

the OCR errors, the textual information from the complementary document, the textual information from the gift card, and the predefined business rules.

13. The method as recited in claim 10, further comprising extracting an identifier of the gift card from the image based at least in part on the OCR, wherein the user input relates to the extracted identifier.

14. The method as recited in claim 14, wherein the at least one of:

correcting OCR errors, normalizing data from the complementary document and normalizing data from the gift card is based at least in part on the user input.

16. The method as recited in claim 16, wherein the database further comprises financial information for an account corresponding to the gift card.

19. 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 and

at least one of;

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

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

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

20. A computer program product, comprising:

a computer readable storage medium having embodied thereon non-transitory computer readable instructions, the computer readable instructions being configured to cause a processor to;

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

at least one of;

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

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

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