ANALYSIS OF MODELS AND ALGORITHMS FOR INCREASING SECURITY LEVELS BASED ON THE INTRODUCTION OF BIOMETRIC AUTHENTICATION

Authors

  • Davlatmuratov Valijon To‘lqin ugli ,Xudayberganov Temur Rustamovich Tashkent University of Information Technologies, Urgench branch, Master's student in Information Security,Tashkent University of Information Technologies, Urgench branch,,  Head of the Department of Information Security 

DOI:

https://doi.org/10.55640/

Keywords:

biometric authentication, Gabor filtering, Fourier transform, Haar cascade algorithm, Bayesian statistics, modal systems.

Abstract

This article shows the importance of biometric authentication systems in increasing security. The study analyzes the developments of scientists such as Dr. John Daugman, Dr. Anil K. Jain, Dr. Tieniu Tan and Dr. Arun Ross, and examines the effectiveness of their algorithmic approaches and techniques. Methods for processing iris, fingerprint, face image and other biometric features, including Gabor filtering, Fourier transform, Haar cascade algorithms and Bayesian statistics, have provided high accuracy and reliability in authentication systems. The results confirmed the important role of these methods in increasing the effectiveness of biometric authentication systems. In the future, the integration of these systems with artificial intelligence and multi-modal approaches is expected to open up new opportunities.

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References

1.Daugman, J. (2004). How iris recognition works. IEEE Transactions on Circuits and Systems for Video Technology.

2.Daugman, J. (1993). High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence.

3.Bowyer, K.W., Hollingsworth, K., & Flynn, P.J. (2008). Image understanding for iris biometrics: A survey. Computer Vision and Image Understanding.

4.Wildes, R.P. (1997). Iris recognition: An emerging biometric technology. Proceedings of the IEEE.

5.Jain, A.K., Ross, A., & Nandakumar, K. (2011). Introduction to biometrics. Springer Science & Business Media.

6.Tan, T., Huang, Y., & Zhang, Z. (2005). Face recognition and gait recognition. Handbook of Face Recognition.

7.Daugman, J. (2002). Biometric personal identification system based on iris analysis. U.S. Patent No. 6,307,943.

8.Ross, A., Nandakumar, K., & Jain, A.K. (2006). Handbook of Multibiometrics. Springer.

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Published

2025-10-23

Issue

Vol. 4 No. 9 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

ANALYSIS OF MODELS AND ALGORITHMS FOR INCREASING SECURITY LEVELS BASED ON THE INTRODUCTION OF BIOMETRIC AUTHENTICATION. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(9), 887-891. https://doi.org/10.55640/

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