''CREATING AN ALGORITHM AND SOFTWARE TOOL FOR PERSONAL IDENTIFICATION USING FACIAL SCANNING TO PROTECT THE OPERATING SYSTEM''.

''CREATING AN ALGORITHM AND SOFTWARE TOOL FOR PERSONAL IDENTIFICATION USING FACIAL SCANNING TO PROTECT THE OPERATING SYSTEM''.

Authors

  • Usmonov Maxsud Tulqin o‘g‘li

DOI:

https://doi.org/10.5281/zenodo.17525975

Keywords:

Python, Operating system, Security, Face ID, Personal identification, Biometrics, Facial recognition algorithms, Windows, Protection system, Artificial intelligence, Software tool, Authentication, Biometric security.

Abstract

This scientific article analyzes the process of creating an algorithm and software tool for personal identification
using face scanning to protect the operating system. The article covers the principle of operation of the Face ID program
developed based on the Python programming language, identification algorithms, technical and software tools that
ensure security, and real-time authentication methods. The effectiveness, security level, and practical application of the
protection system created for the Windows operating system are also evaluated.

Author Biography

Usmonov Maxsud Tulqin o‘g‘li

Master’s student at the National University of Uzbekistan

References

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LeCun Y. (2018). CNN Models for Face Recognition . [page 42]

Parkhi O. (2019). Dlib and FaceNet Performance Comparison . [page 12]

Goodfellow I. (2022). AI Security and Privacy . [Page 5]

Google AI Lab (2016). FaceNet Model Overview . [page 34]

Python.org (2022). Official Documentation for OpenCV and NumPy . [Page 17]

Microsoft Research (2020). Biometric Authentication in Windows OS . [Page 11]

Khan R. (2021). Facial Recognition Algorithms under Low Light . [page 19]

Lee D. (2019). Image-based User Verification Systems . [page 25]

DARPA (2006). Face Recognition Grand Challenge Report . [Page 8]

Chen H. (2020). AI in Security and Network Systems . [page 27]

UNESCO (2022). Digital Transformation and AI Ethics . [Page 10]

OpenAI Research (2021). Real-time Vision Processing Models . [page 30]

Young T. (2019). Data-driven Biometric Protection Systems . [Page 20]

Face Recognition Library (2022). Dlib API Guide . [page 33]

Downloads

Published

2025-11-01

How to Cite

Usmonov , M. (2025). ’’CREATING AN ALGORITHM AND SOFTWARE TOOL FOR PERSONAL IDENTIFICATION USING FACIAL SCANNING TO PROTECT THE OPERATING SYSTEM’’. Innovation Science and Technology, 1(11). https://doi.org/10.5281/zenodo.17525975
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