Artificial Neural Network Models of Multimodal Biometric Authentication System

As part of this research, software for multimodal biometric authentication using neural networks is developed to improve the efficiency of information system user authorization. The architectures of artificial neural networks, which are involved in the processes of recognizing a person by facial image and voice, are given. The internationally used databases (DataSet) of images and audio recordings for training of neural networks are considered. The process of training neural networks, the formed database of biometric personal data and the results obtained by the authors are described.