Integration OF Biometric AND Electronic Signatures Using Neural Network Algorithms
M. (Muminova) SunbulaTashkent University of information technologies named after Muhammad al-Khwarazmi Tashkent , UzbekistanN. (Nomozov) MansurbekTashkent University of information technologies named after Muhammad al-Khwarazmi Tashkent , Uzbekistan
ABI
Abstract
This article provides arguments regarding the possibility of using modern methods of pattern recognition in problems of biometric authentication: fuzzy extractors, artificial multilayer neural networks, deep learning methods, as well as convolutional, evolutionary, small, wide, hybrid neural networks. The results of our own research in this area are presented. Two methods are proposed for integrating biometric and electronic signatures based on dynamic signature parameters, as well as face and keyboard handwriting parameters.
Citations and references
Cited by 00 references