FIELD: computer equipment.
SUBSTANCE: invention relates to computer engineering, intended for user authentication. Technical result is achieved by receiving an FMst.D card iris signs of a legitimate user of the computing device, extraction from an FMinc.D card image iris signs of the current user of the computing device by processing this image of the iris of the current user with the convolutional neural network, implementation of FVsh. vector construction comparisons of upper level by performing element-by-element operation on elements Iinc.d,i of said FMinc.D card features and corresponding elements Iinc.d,i of said FMst.D card features and realizing FVsh. vector representation features of comparison of upper level into another feature space.
EFFECT: high accuracy of biometric authentication of a user by reducing the probability of errors during biometric authentication of a user.
12 cl, 8 dwg
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Authors
Dates
2019-08-15—Published
2018-10-26—Filed