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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 12530917 B1

PDFFull Text
Date of Patent:
Jan. 20, 2026

Filed:

Aug. 26, 2022

Text data structuring method and apparatus using line information

Applicant:

42maru Inc., Seoul, KR;

Inventors:

Dong Hwan Kim, Seoul, KR;

You Kyung Kwon, Seoul, KR;

So Young Ko, Seoul, KR;

Ki Beom Kwon, Gyeonggi-do, KR;

Da Hea Moon, Goyang-si, KR;

Yeo Sol Lim, Seoul, KR;

Assignee:

42Maru Inc., Seoul, KR;

Attorney:

Sughrue Mion, PLLC

Primary Examiner:

Jennifer Mehmood

Assistant Examiner:

Jose M Torres

Int. Cl.
CPC ...
G06V 30/413 (2022.01); G06F 16/31 (2019.01); G06F 16/334 (2025.01); G06F 16/583 (2019.01); G06F 18/22 (2023.01); G06F 40/117 (2020.01); G06F 40/279 (2020.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06V 30/18 (2022.01); G06V 30/19 (2022.01); G06V 30/262 (2022.01); G06V 30/412 (2022.01); G06V 30/414 (2022.01); G06V 30/42 (2022.01);
U.S. Cl.
CPC ...
G06V 30/413 (2022.01); G06F 16/316 (2019.01); G06F 16/3347 (2019.01); G06F 16/5846 (2019.01); G06F 18/22 (2023.01); G06F 40/117 (2020.01); G06F 40/279 (2020.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06V 30/18 (2022.01); G06V 30/19093 (2022.01); G06V 30/1916 (2022.01); G06V 30/262 (2022.01); G06V 30/412 (2022.01); G06V 30/414 (2022.01); G06V 30/42 (2022.01);
Abstract

A text data structuring apparatus according to the present invention includes: a data extraction unit which extracts text included in an image and position information of the text on the basis of OCR; a data processing unit which extracts line information included in the image by using the text, the position information, and the image; a labeling unit which labels the text as keys or values; and a relationship identification unit which acquires a mapping candidate group including first text, second text, and third text labeled on the basis of the line information, calculates a first similarity score representing meaning similarity between the first text and the third text and a second similarity score representing meaning similarity between the second text and the third text, and decides text to be mapped with the third text among of the first text and the second text.

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