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.

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.

Abstract: A method and apparatus for providing biometric authentication of a user uses a registration process in which a reference data sample representative of a biometric attribute of a reference user is used to train a statistical classifier such as a neural network to achieve a target output. The set of parameters of the statistical classifier, e.g. the weights that achieve this in the neural network, are stored on a user's device as a first data set. For subsequent authentication of a user to be tested at an access point, the first data set is retrieved from the user device and a second data set representative of the biometric attribute of the test user is generated directly from the test user. The first data set is used as a set of parameters in a statistical classifier, e.g. as weights in an artificial neural network, to generate a trained classifier or neural network and the second data set is then used as input to the trained classifier or neural network.

Abstract: A method and apparatus for providing biometric authentication of a user uses a registration process in which a reference data sample representative of a biometric attribute of a reference user is used to train a statistical classifier such as a neural network to achieve a target output. The set of parameters of the statistical classifier, e.g. the weights that achieve this in the neural network, are stored on a user's device as a first data set. For subsequent authentication of a user to be tested at an access point, the first data set is retrieved from the user device and a second data set representative of the biometric attribute of the test user is generated directly from the test user. The first data set is used as a set of parameters in a statistical classifier, e.g. as weights in an artificial neural network, to generate a trained classifier or neural network and the second data set is then used as input to the trained classifier or neural network.