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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 12597283 B1

PDFFull Text
Date of Patent:
Apr. 07, 2026

Filed:

Aug. 23, 2023

Methods and systems for graph-inference-based text extraction from unstructured documents

Applicant:

Sciome, Llc, Research Triangle Park, NC (US);

Inventors:

Christopher Norman, Fagersta, SE;

Brian Howard, Raleigh, NC (US);

Ruchir Shah, Durham, NC (US);

Assignee:

Sciome, LLC, Research Triangle Park, NC (US);

Attorney:

Muncy, Geissler, Olds & Lowe, P.C.

Primary Examiner:

David Perlman

Int. Cl.
CPC ...
G06V 30/413 (2022.01); G06F 40/205 (2020.01); G06T 7/73 (2017.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 30/18 (2022.01); G06V 30/19 (2022.01); G06V 30/42 (2022.01);
U.S. Cl.
CPC ...
G06V 30/413 (2022.01); G06F 40/205 (2020.01); G06T 7/73 (2017.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); G06V 30/1801 (2022.01); G06V 30/18181 (2022.01); G06V 30/19173 (2022.01); G06V 30/42 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

According to one aspect, the subject matter described herein includes a method for extracting text from unstructured documents. The method includes receiving a page of an unstructured document; extracting, from the page, a glyph identifier and a glyph position for each glyph on the page; and generating an adjacency graph based on the glyph positions for each glyph on the page, each node in the graph corresponding to a glyph and comprising glyph information that includes at least the glyph identifier and the glyph position for the respective glyph. The method further includes processing the adjacency graph by a machine learning model to classify edges and nodes in the adjacency graph, then grouping the glyphs according to their edge and node classifications to produce text output.

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