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dc.contributor.advisorVrublevskiy, I. A.ru
dc.contributor.authorGao, Sihai.ru
dc.contributor.authorWang, Dongyangru
dc.coverage.spatialМинскru
dc.date.accessioned2026-02-13T07:37:26Z
dc.date.available2026-02-13T07:37:26Z
dc.date.issued2025
dc.identifier.citationGao, Sihai Matlab-based fingerprintre cognition system belarusian state universityof informatics and radioelectro / Sihai Gao, Dongyang Wang; науч. рук. I. A. Vrublevskiy // Цифровые технологии и бизнес : материалы 81 студенческой научно-технической конференции, Минск, 15 мая 2025 г. / сост.: М. А. Седнина, М. Г. Карасёва, Д. О. Савчук. – Минск : БНТУ, 2025. – С. 340-343.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/163930
dc.description.abstractThis article systematically introduces the development of fingerprint identification technology and the current status of research and application at home and abroad, and explains the necessity and significance of establishing a fingerprint identification system. Based on digital image processing, the principles and methods of fingerprint identification are studied, focusing on analyzing the neural network-based fingerprint identification algorithm, filtering features and invariant moments fingerprint identification algorithm and fingerprint matching algorithm, and using matlab as a simulation tool to program the identification of the three existing fingerprint identification algorithms; and demonstrating the advantages and disadvantages of the various algorithms through experiments.ru
dc.language.isoenru
dc.publisherБНТУru
dc.titleMatlab-based fingerprintre cognition system belarusian state universityof informatics and radioelectroru
dc.typeWorking Paperru


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