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 |
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.
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