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:
Apr. 30, 2024

Filed:

Dec. 16, 2021
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Loganathan Muthu, Guduvancheri, IN;

Rahul Kotnala, Chennai, IN;

Srinivasan Krishnan Rajagopalan, Chennai, IN;

Peter Ashly Gopalan, Chennai, IN;

Manikandan Chandran, Chennai, IN;

Anand Yesuraj Prakash, Chennai, IN;

Simantini Deb, Navi Mumbai, IN;

Vijay Dhandapani, Chennai, IN;

Harbhajan Singh, Dublin, IN;

RBSanthosh Kumar, Chennai, IN;

Lokesh Venkatappa, Bangalore, IN;

Ramakrishnan Raman, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/414 (2022.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06V 30/414 (2022.01); G06V 30/19107 (2022.01); G06V 30/19147 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/416 (2022.01);
Abstract

A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.


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