FIELD: computer engineering.
SUBSTANCE: present technical solution relates to computer engineering. Technical result is achieved due to the fact that templates of graphic images are formed, one of said templates is shown to the user and the user is prompted to depict the demonstrated template, recording a set of key parameters of the image generated by the user, comparing the set of key parameters of the image generated by the user with the corresponding set of key parameters of the template and outputting a signal of successful authentication, if their difference does not fall outside the confidence range, said set of key parameters includes at least one time parameter characterizing the dynamics of the appearance of the trajectory, along which the image was formed by the user, and attaching it to said template, and at step (i), for each template, said set of key parameters and limits of the confidence range are determined by a machine learning method based on test images, which were manually formed by previously authenticated users during demonstration of this template.
EFFECT: high reliability of authentication.
13 cl, 5 dwg
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