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:
May. 07, 2024

Filed:

Jun. 27, 2022
Applicant:

Kofax, Inc., Irvine, CA (US);

Inventors:

Stephen M. Thompson, Bonsall, CA (US);

Iurii Vymenets, St. Petersburg, RU;

Donghan Lee, Anaheim, CA (US);

Markus Georg Lust, Freiburg, DE;

Assignee:

KOFAX, INC., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06V 10/70 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06F 16/2282 (2019.01); G06V 10/70 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01);
Abstract

According to one embodiment, a computer-implemented method for classifying one or more tables and/or one or more tabular data arrangements depicted in image data includes: training a machine learning model, using a training dataset representing a plurality of different tables and/or tabular data arrangements, based at least in part on a plurality of recognized textual elements within the training dataset; and outputting a trained classification model based on the training, wherein the trained classification model is configured to classify one or more tables and/or one or more tabular data arrangements represented within a test dataset according to: one or more table classifications; one or more tabular data arrangement classifications; and/or one or more column classifications; and classifying the one or more tables and/or the one or more tabular data arrangements represented within the test dataset using the trained classification model. Methods for detecting, extracting, and classifying tables are also disclosed.


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