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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.

Patent No.:

US 12299399 B1

PDFFull Text
Date of Patent:
May. 13, 2025

Filed:

May. 10, 2022

Method, apparatus, and system for recognizing text in image

Applicant:

Huawei Technologies Co., Ltd., Guangdong, CN;

Inventors:

Lin Du, Beijing, CN;

Alfred Chixiong Shen, Shenzhen, CN;

Lemeng Pan, Shenzhen, CN;

Assignee:

HUAWEI TECHNOLOGIES CO., LTD., Shenzhen, CN;

Attorney:

WOMBLE BOND DICKINSON (US) LLP

Primary Examiner:

Jamares Q Washington

Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/295 (2020.01); G06V 10/774 (2022.01); G06V 10/778 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 30/14 (2022.01); G06V 30/18 (2022.01); G06V 30/262 (2022.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/295 (2020.01); G06V 10/774 (2022.01); G06V 10/778 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 30/1444 (2022.01); G06V 30/18057 (2022.01); G06V 30/274 (2022.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01);
Abstract

A method for recognizing a text in an image includes: obtaining a plurality of recognition results of a to-be-recognized text in an image according to a plurality of recognition methods (S); obtaining semantic information of the recognition results (S); obtaining feature information of the image, where the feature information of the image can represent information around the to-be-recognized text in the image (S); and determining a target recognition result of the to-be-recognized text from the plurality of recognition results based on the feature information of the image and the semantic information of the plurality of recognition results (S). According to the method, accuracy of determining the most accurate recognition result from the plurality of recognition results can be improved, that is, a precise recognition result can be obtained.

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