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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 12561519 B1

PDFFull Text
Date of Patent:
Feb. 24, 2026

Filed:

Nov. 15, 2019

Scalable form matching

Applicant:

Dst Technologies, Inc., Kansas City, MO (US);

Inventor:

Michail Iliadis, Oakland, CA (US);

Assignee:

DST Technologies, Inc., Kansas City, MO (US);

Attorneys:

Perkins Coie LLP

Colin Fowler

Primary Examiner:

Robert Stevens

Int. Cl.
CPC ...
G06F 40/186 (2020.01); G06F 16/23 (2019.01); G06F 16/31 (2019.01); G06F 16/334 (2025.01); G06F 16/93 (2019.01); G06N 3/08 (2023.01); G06T 3/60 (2024.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01); G06V 30/418 (2022.01);
U.S. Cl.
CPC ...
G06F 40/186 (2020.01); G06F 16/2365 (2019.01); G06F 16/313 (2019.01); G06F 16/3347 (2019.01); G06F 16/93 (2019.01); G06N 3/08 (2013.01); G06T 3/60 (2013.01); G06V 10/751 (2022.01); G06V 10/82 (2022.01); G06V 30/19173 (2022.01); G06V 30/412 (2022.01); G06V 30/418 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Disclosed are a method and apparatus for determining a given template of a form used by a filled in instance of that type of form from amongst a great number of form templates (a hundred or more). The given instance is evaluated by a neural network that has been trained by a single example of each template in order to reduce the total number of templates down to a manageable amount. Given a list of closest matching templates, the instance is aligned to each of the closest matching templates. The comparison generates a match score. The form template having the greatest match score is the correct form template. Filtering the instance through a one-shot learning neural network before performing a precise comparison enables the process to scale to any number of template forms.

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