# US 2014/0153787 A1 · Systems, methods and computer program products for determining document validity > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0153787 A1 - Document ID: US20140153787A1 - Status: Published application - Kind: A1 - Application number: 14/176,006 - Filed: 2014-02-07 - Published: 2014-06-05 - Earliest claimed: 2009-02-10 - Assignees: Kofax, Inc. - Applicants: Kofax, Inc. - Inventors: Mauritius A.R. Schmidtler; Roland G. Borrey; Jan W. Amtrup; Stephen Michael Thompson - Web page: https://patentgrep.com/patent/US20140153787A1 ## CPC - G06Q 10/10: Office automation; Time management - G06F 40/00: Handling natural language data (speech analysis or synthesis, speech recognition G10L) - G06V 30/224: of printed characters having additional code marks or containing code marks - G06V 30/40: Document-oriented image-based pattern recognition - G06V 30/416: Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors - H04N 1/40: Picture signal circuits (H04N1/387 takes precedence) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## 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 ### Claim 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. ### Claim 2 (depends on 1) The method as recited in claim 1, wherein the financial document comprises a gift card. ### Claim 3 (depends on 2) 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. ### Claim 4 (depends on 2) The method as recited in claim 2, further comprising extracting an identifier of the gift card from the image. ### Claim 5 (depends on 4) The method as recited in claim 4, wherein the identifier comprises one or more of an account number and a security code. ### Claim 6 (depends on 4) 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. ### Claim 7 (depends on 4) The method as recited in claim 4, wherein the textual information from the complementary document corresponds to the extracted identifier. ### Claim 8 (depends on 2) 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. ### Claim 9 (depends on 2) The method as recited in claim 2, further comprising prompting a user for input relating to the gift card. ### Claim 10 (depends on 10) The method as recited in claim 10, wherein the prompting occurs at least partially in response to detecting the OCR errors. ### Claim 11 (depends on 10) The method as recited in claim 10, further comprising receiving the user input via a mobile device. ### Claim 12 (depends on 10) 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. ### Claim 13 (depends on 10) 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. ### Claim 14 (depends on 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. ### Claim 15 (depends on 2) The method as recited in claim 2, wherein the complementary document comprises content of an electronic record in a database. ### Claim 16 (depends on 16) The method as recited in claim 16, wherein the database further comprises financial information for an account corresponding to the gift card. ### Claim 17 (depends on 2) The method as recited in claim 2, wherein the textual information from the complementary document corresponds to a gift card identifier. ### Claim 18 (depends on 2) The method as recited in claim 2, wherein the textual information from the complementary document comprises an account balance corresponding to the gift card. ### Claim 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. ### Claim 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.