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:
Oct. 03, 2023

Filed:

Oct. 17, 2022
Applicant:

Optum, Inc., Minnetonka, MN (US);

Inventors:

Rahul Bhaskar, Rancho Santa Margarita, CA (US);

Daryl Seiichi Furuyama, Irvine, CA (US);

Daniel William James, Costa Mesa, CA (US);

Assignee:

Optum, Inc., Minnetonka, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/98 (2022.01); G06N 20/00 (2019.01); G06V 30/40 (2022.01); G06V 10/24 (2022.01); G06F 18/21 (2023.01); G06F 18/28 (2023.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06V 10/98 (2022.01); G06F 18/21 (2023.01); G06F 18/217 (2023.01); G06F 18/28 (2023.01); G06N 20/00 (2019.01); G06V 10/242 (2022.01); G06V 30/40 (2022.01); G06V 30/10 (2022.01); G06V 2201/10 (2022.01);
Abstract

Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.


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