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In this work, the problems of biometric identification of a person are considered, in practice wide used biometric identification of methods briefly mutual comparative analysis is presented.

  • Read count 7
  • Date of publication 01-11-2024
  • Main LanguageIngliz
  • Pages23-26
English

In this work, the problems of biometric identification of a person are considered, in practice wide used biometric identification of methods briefly mutual comparative analysis is presented.

Author name position Name of organisation
1 Jurakulov T.T. Teacher Navoi State Pedagogical Institute
2 Sadulloyeva M.L. Student Navoi State Pedagogical Institute
Name of reference
1 Cortley Y., Jridi M.,Al Falou A., Atri M. Face Recognition Systems: A Survey. Sensors. –2020. –Vol. 20, 342. –URL: https://doi.org/10.3390/s20020342.2.Mehta V., Tiwari J., Shaji J. Face Recognition-Advanced Techniques. International Journal of Engineering Research & Technology (IJERT 2019.3.Vol. 08. . Pp. 410-415. URL: https://doi.org/10.17577/IJERTV8IS0701784.Kukharev G.A. Biometric system. Method and means of identification of people. -SPb: Polytechnic, 2001. -240 p.5.Mamatov N., Abdukadirov B., Kakharov Sh., Orifjonov B., Abdukadirova G. Peculiarities of face detection and recognition. 2021 International Conference on Information Science oath Communications Technologies (ICISCT). –2021.6.–Pp. 1-5. –URL: https://doi.org/10.1109/ICISCT52966.2021.9670086.7.Fazilov Sh.Kh., Kakharov Sh.S. Problems of facial image decomposition into local areas in biometric identification of a person. Journal of informatics and energy problems of Uzbekistan. -2021. -No. 6. -B.8.Fazilov S. K., Mirzaev ON, Kakharov S. S. Building a Local Classifier for Component-Based Face Recognition //International Conference on Intelligent Human Computer Interaction. –Cham : Springer Nature Switzerland, 2022. –S. 177-187. 3-17.9.Opanasenko VM, Fazilov S., Radjabov SS etc al. Multilevel Face RecognitionSystem. Cybern Syst Anal 60, 146–151 (2024). https://doi.org/10.1007/s10559-024-00655-w
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