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METHODS FOR BUILDING ACCESS CONTROL SYSTEMS IN UNIVERSITIES BASED ON BIOMETRIC IDENTIFICATION
Maqola haqida umumiy ma'lumotlar
This article discusses the access control system in universities. The method of accounting for the working time of teachers of the department. The positive and negative sides of access control are found out. Examples of the introduction of an electronic journal are given.
1. Potapov A. (2017). Automatic image analysis and pattern recognition (2017). LAP Lambert Academic Publishing.
2. Brilyuk D.V., Starovoitov V.V. (2002). Recognition of a person by face image by neural network methods. Minsk.
3. Emelyanov, S.V. (2015) Information technologies and computing systems. Computing systems. Computer graphics. Pattern recognition. Mathematical modeling. Issue No. 2. - Moscow: Mir.
4. Kapitonova, T. A. (2015). Neural network modeling in pattern recognition. Philosophical and methodological aspects. Moscow.
Kerimov , K. F., & Abduvalieva , Z. A. (2022). METHODS FOR BUILDING ACCESS CONTROL SYSTEMS IN UNIVERSITIES BASED ON BIOMETRIC IDENTIFICATION. Academic Research in Educational Sciences, 3(3), 516–519. https://doi.org/10.24412/2181-1385-2022-3-516-519
Kerimov , Kamil , and Zebiniso Abduvalieva ,. “METHODS FOR BUILDING ACCESS CONTROL SYSTEMS IN UNIVERSITIES BASED ON BIOMETRIC IDENTIFICATION.” Academic Research in Educational Sciences, vol. 3, no. 3, 2022, pp. 516–519, https://doi.org/10.24412/2181-1385-2022-3-516-519.
Kerimov , F. and Abduvalieva , A. 2022. METHODS FOR BUILDING ACCESS CONTROL SYSTEMS IN UNIVERSITIES BASED ON BIOMETRIC IDENTIFICATION. Academic Research in Educational Sciences. 3(3), pp.516–519.