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:
Jun. 11, 2024

Filed:

Jan. 07, 2022
Applicant:

Infrrd Inc, San Jose, CA (US);

Inventors:

Deepak Kumar, Bengaluru, IN;

Jianglong He, New York, NY (US);

Assignee:

INFRRD INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/416 (2022.01); G06F 16/93 (2019.01); G06F 40/186 (2020.01); G06F 40/295 (2020.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06V 30/416 (2022.01); G06F 16/93 (2019.01); G06F 40/186 (2020.01); G06F 40/295 (2020.01); G06N 3/045 (2023.01);
Abstract

A system for template invariant information extraction. The system comprises of processor, a first neural network model and a second neural network model. The processor is configured to recognize and extract entities and location of the entities in the input document using the first neural network model. The processor is further configured to classify whether the input document belongs to at least a template of the documents of the first training dataset using the second neural network model. The second neural network model comprises a linear classifier configured to generate a plurality of confidence scores for the input document corresponding to a unique template of the documents of the first training dataset. A threshold value to classify the input document belonging to template of the documents of the first training dataset is determined, Classification is done by comparing the confidence score with the threshold value.


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