Subjects Authentication Based on Secret Biometric Patterns Using Wavelet Analysis and Flexible Neural Networks

Abstract

The article investigates the problem of reliable authentication tools construction based on secret dynamic biometric patterns of a subject. Developing such tools, it is proposed to use wavelet analysis of keystroke dynamics, handwritten and voice passwords, as well as hybrid neural networks that adapt to the characteristics of the biometric pattern of a person. The estimation of informativeness of the features, obtained using wavelet decomposition of dynamic biometric patterns with Haar, Daubechies, Morlet, Mayer, Shannon, “Mexican hat” and others bases, is given. The reliability of subjects recognition by features of voice, keyboard and handwriting in the process of secret and open biometric patterns reproduction is provided.