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. 10, 2025

Filed:

Mar. 31, 2022
Applicant:

Nielsen Consumer Llc, New York, NY (US);

Inventors:

Jose Javier Yebes Torres, Valladolid, ES;

Aditi Sinha, Weehawken, NY (US);

Christine Lebrun, Paris, FR;

Fabio Oppini, Milan, IT;

Atul Bansal, New York, NY (US);

Mukul Kumar, New York, NY (US);

Vignesh Chandramouli, New York, NY (US);

Filipa Sousa, New York, NY (US);

Gisella Mercaldi, Oxford, GB;

Assignee:

Nielsen Consumer LLC, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/146 (2022.01); G06Q 30/0283 (2023.01); G06V 30/148 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06V 30/416 (2022.01); G06Q 30/0283 (2013.01); G06V 30/147 (2022.01); G06V 30/15 (2022.01); G06V 30/413 (2022.01); G06V 30/414 (2022.01);
Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed that decode purchase data using an image. An example apparatus includes processor circuitry to execute machine readable instructions to at least crop an image of a receipt based on detected regions of interest, apply a first mask to a first cropped image to generate first bounding boxes corresponding to rows of the receipt, apply a second mask to a second cropped image to generate second bounding boxes corresponding to columns of the receipt, generate a structure of the receipt by mapping words detected by an optical character recognition engine to corresponding first bounding boxes and second bounding boxes based on a mapping criterion, classify the second bounding boxes by identifying an expression of interest in ones of the second bounding boxes, and generate purchase information by extracting text of interest from the structured receipt based on the classifications.


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