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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 11971924 B1

PDFFull Text
Date of Patent:
Apr. 30, 2024

Filed:

Oct. 22, 2021

Liveness test method and apparatus

Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Youngjun Kwak, Seoul, KR;

Byung In Yoo, Seoul, KR;

Youngsung Kim, Suwon-si, KR;

Chang Kyu Choi, Seongnam-si, KR;

Jaejoon Han, Seoul, KR;

Assignee:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Attorney:

NSIP Law

Primary Examiner:

Alex Kok S Liew

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 16/00 (2019.01); G06F 16/583 (2019.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06F 21/32 (2013.01); G06F 21/62 (2013.01); G06N 3/02 (2006.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G06V 40/40 (2022.01); G06V 40/50 (2022.01); G06N 3/045 (2023.01); G06T 7/60 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06F 16/583 (2019.01); G06F 16/00 (2019.01); G06F 18/22 (2023.01); G06F 18/24137 (2023.01); G06F 21/32 (2013.01); G06F 21/6218 (2013.01); G06N 3/02 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/161 (2022.01); G06V 40/168 (2022.01); G06V 40/45 (2022.01); G06V 40/50 (2022.01); G06N 3/045 (2023.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

A processor-implemented liveness test method includes detecting a face region in a query image, the query image including a test object for a liveness test, determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database, determining at least one test region in the query image based on the detected face region and the determined liveness test condition, obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor, and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.

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