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. 27, 2023

Filed:

Mar. 06, 2020
Applicants:

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

Snu R&db Foundation, Seoul, KR;

Inventors:

Seungju Han, Seoul, KR;

Jaejoon Han, Seoul, KR;

Minsu Ko, Suwon-si, KR;

Chang Kyu Choi, Seongnam-si, KR;

Bohyung Han, Seoul, KR;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 17/02 (2013.01); G06N 3/08 (2023.01); G10L 17/06 (2013.01); G10L 17/18 (2013.01); G10L 17/04 (2013.01); G06V 40/50 (2022.01); G06V 40/70 (2022.01); G06F 21/36 (2013.01); G06F 21/45 (2013.01); G06V 10/82 (2022.01); G06F 18/00 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G10L 17/02 (2013.01); G06F 18/00 (2023.01); G06F 18/24 (2023.01); G06F 21/36 (2013.01); G06F 21/45 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/50 (2022.01); G06V 40/70 (2022.01); G10L 17/04 (2013.01); G10L 17/06 (2013.01); G10L 17/18 (2013.01);
Abstract

An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.


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