fingerprints

The article presents an advanced method of fingerprint identification based on convolutional neural network (CNN) technology. This work elaborately describes the development and implementation process of a specialized CNN architecture for detecting and verifying the authenticity of fingerprints. Utilizing the comprehensive Socofing dataset allowed for an in -depth analysis of the model’s ability to distinguish between genuine and fabricated fingerprints, where the model demonstrated impressive accuracy – up to 98.964%.

According to the analysis of peculiarities of data protection in computer networks the necessity of usage of biometric data in user authentication services is founded. Adaptive method of user authentication in multilevel data protection system of computer network based on biometric data of fingerprints is introduced.