US 11,900,246 B2
Method and apparatus for recognizing user based on on-device training
Dohwan Lee, Suwon-si (KR); Kyuhong Kim, Seoul (KR); and Jaejoon Han, Seoul (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Jun. 29, 2020, as Appl. No. 16/914,671.
Claims priority of application No. 10-2019-0108199 (KR), filed on Sep. 2, 2019; and application No. 10-2019-0127239 (KR), filed on Oct. 14, 2019.
Prior Publication US 2021/0064923 A1, Mar. 4, 2021
Int. Cl. G06N 3/08 (2023.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G06F 18/40 (2023.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06F 18/23213 (2023.01)
CPC G06N 3/08 (2013.01) [G06F 18/214 (2023.01); G06F 18/23213 (2023.01); G06F 18/2413 (2023.01); G06F 18/41 (2023.01); G06V 10/82 (2022.01); G06V 40/168 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A recognition method comprising:
receiving user data input by a valid user for user registration;
performing on-device training on a feature extractor based on the user data and reference data corresponding to generalized users;
determining a registration feature vector based on an output from the feature extractor in response to input of the user data;
receiving test data input by a test user for user recognition;
determining a test feature vector based on an output from the feature extractor in response to input of the test data; and
performing the user recognition on the test user based on a result of comparing the registration feature vector to the test feature vector,
wherein the feature extractor includes a first neural network having a fixed parameter dependent on pretraining and a second neural network having an adjustable parameter dependent on the on-device training.