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:
Jan. 27, 2026

Filed:

Mar. 11, 2023
Applicant:

L&t Technology Services Limited, Chennai, IN;

Inventors:

Tarun Kumar Das, Digboi, IN;

Triptesh Mallick, Bankura, IN;

Madhusudan Singh, Bangalore, IN;

Pragyesh Kumar, Agra, IN;

Mridul Balaraman, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 30/19 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06T 7/11 (2017.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 30/19093 (2022.01); G06V 30/414 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30176 (2013.01);
Abstract

A method and system of determining quality of a document image is disclosed that includes segmenting, by one or more processors, a document image into a plurality of regions each of which comprises text data. The plurality of regions is classified into one of a plurality of image quality classes based on a determination of a highest prediction value from one of a plurality of machine learning models. The plurality of machine learning models is trained corresponding to one of the plurality of image quality classes. A cumulative quality score for the image is computed based on a weighted average of a number of regions classified into each of the plurality of image quality classes. The quality of the image is determined based on the cumulative quality score.


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