Метод ідентифікації користувача за клавіатурним почерком на основі нейромереж

Abstract

An experimental study was made of the possibility of using a two-level neural network with a built-in sigmoid activation function to improve the accuracy of user identification by keyboard handwriting and proposed a method based on this mathematical apparatus. A comparison of the proposed identification method with existing ones showed an increase in the accuracy of user identification by 1-15%.