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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.

Patent No.:

US 12020152 B1

PDFFull Text
Date of Patent:
Jun. 25, 2024

Filed:

Aug. 09, 2021

Neural network-based optical character recognition

Applicant:

Vannevar Labs, Inc., Palo Alto, CA (US);

Inventors:

Daniel Goodman, Mountain View, CA (US);

Nathaniel Honka, Mountain View, CA (US);

Eleony Moorhead, Palo Alto, CA (US);

Nathanial Hartman, Oakland, CA (US);

Brett Granberg, Palo Alto, CA (US);

Assignee:

Vannevar Labs, Inc., Palo Alto, CA (US);

Attorneys:

Cognition IP, P.C.

Edward Steakley

Rajesh Fotedar

Primary Examiner:

Xuemei G Chen

Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/214 (2023.01); G06F 18/2411 (2023.01); G06N 3/044 (2023.01); G06V 10/82 (2022.01); G06V 20/62 (2022.01); G06V 30/148 (2022.01); G06V 30/166 (2022.01); G06V 30/18 (2022.01); G06V 30/19 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/214 (2023.01); G06F 18/2411 (2023.01); G06N 3/044 (2023.01); G06V 10/82 (2022.01); G06V 20/62 (2022.01); G06V 30/15 (2022.01); G06V 30/158 (2022.01); G06V 30/166 (2022.01); G06V 30/18057 (2022.01); G06V 30/19173 (2022.01); G06V 30/10 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural network-based optical character recognition. An embodiment of the system may generate a set of bounding boxes based on reshaped image portions that correspond to image data of a source image. The system may merge any intersecting bounding boxes into a merged bounding box to generate a set of merged bounding boxes indicative of image data portions that likely portray one or more words. Each merged bounding box may be fed by the system into a neural network to identify one or more words of the source image represented in the respective merged bounding box. The one or more identified words may be displayed by the system according to a standardized font and a confidence score.

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