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:
May. 06, 2025

Filed:

Nov. 16, 2022
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Swati Tata, Bangalore, IN;

Anjani Kumari, Jharkhand, IN;

Abhishek Singh, Jharkhand, IN;

Kavita V V Ganeshan, Mumbai, IN;

Omar Razi, Bengaluru, IN;

Prakhar Gupta, Meerut, IN;

Achal Gambhir, Bangalore, IN;

Ranjan Sarmah, Assam, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2021.12); G06V 30/186 (2021.12); G06V 30/19 (2021.12); G06V 30/412 (2021.12);
U.S. Cl.
CPC ...
G06V 30/412 (2021.12); G06V 30/186 (2021.12); G06V 30/19153 (2021.12); G06V 30/19167 (2021.12);
Abstract

A document processing system processes a document image to identify document image regions including floating images, structured data units, and unstructured floating text. A first masked image is generated by deleting any floating images from the document image and a second masked image is generated by deleting any structured data units from the first masked image. The structured data units and the unstructured floating text are thus identified serially one after another. Textual data is extracted from the structured data units and the unstructured floating text by processing the corresponding document image regions via optical character recognition (OCR). Entities are extracted from the textual data using natural language processing (NLP) techniques.


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