"DEVELOPMENT OF ALGORITHMS AND SOFTWARE FOR IDENTIFYING OPERATING SYSTEM USERS BASED ON FACIAL SCANNING"

Abstract

This scientific article discusses face-scanning-based personal identification algorithms and their software implementation technologies for protecting the Windows operating system. The historical development of face recognition, current trends in biometric security, the advantages of identification models created in the Python programming environment, and ways to integrate the system with the operating system were analyzed. The results section presents the operation process of the created algorithms, test results, comparison tables and graphs. This research is aimed at increasing security in government organizations, banking, statistics, medicine and other institutions that work with important information.