The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 31, 2020

Filed:

Nov. 07, 2017
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Amit Sareen, Hyderabad, IN;

Awadhesh Pratap Singh, Hyderabad, IN;

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/232 (2020.01); H04N 1/00 (2006.01); G06F 3/0482 (2013.01); G06K 9/62 (2006.01); G06F 21/32 (2013.01); G06N 20/00 (2019.01); G06F 16/93 (2019.01); G06F 21/60 (2013.01);
U.S. Cl.
CPC ...
G06F 40/232 (2020.01); G06F 3/0482 (2013.01); G06F 16/93 (2019.01); G06F 21/32 (2013.01); G06F 21/608 (2013.01); G06K 9/6218 (2013.01); G06K 9/6286 (2013.01); G06N 20/00 (2019.01); H04N 1/00339 (2013.01);
Abstract

Apparatus and methods for transformation of a digital scanner image using machine-learning algorithms are provided. The apparatus and methods may include a portable USB device configured for connection to a scanner port. The device may access and store a scanned digital image captured by the scanner. A device processor may use OCR to generate an editable PDF file and use one or more machine-learning algorithms to apply auto-corrections to the PDF file. The processor may communicate with a user interface configured to display each line from the scanned digital image in line with the corresponding auto-corrected text. The user interface may receive separate inputs accepting each line of auto-corrected text. Auto-correction acceptance data may be transmitted to the device processor. Each accepted auto-correction may be associated with a quantified value. A machine-learning algorithm may be configured to maximize a total value for auto-corrections in a scanned document.


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