Biometric identity verification
Abstract:
Methods and apparatuses for providing biometric authentication of a test user using a registration process where a reference data sample representative of one or more biometric attributes of a reference user is used to train a plurality of neural networks to achieve a target output. The weights that achieve this in the plurality of neural networks may be stored on a user device as a first data set. A second data set representative of one or more biometric attributes may be obtained from the test user using the authentication device or received from the user device. The first data set may be received by the authentication device and used as weights in an artificial neural network and the second data set may be used as inputs. The output of the neural network may determine a degree of correlation between the reference user and the test user to be authenticated.
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