| dc.contributor.advisor | Vrublevskiy, I. A. | ru |
| dc.contributor.author | Gao, Sihai. | ru |
| dc.contributor.author | Wang, Dongyang | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2026-02-13T07:37:26Z | |
| dc.date.available | 2026-02-13T07:37:26Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Gao, 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.uri | https://rep.bntu.by/handle/data/163930 | |
| dc.description.abstract | This 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.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | Matlab-based fingerprintre cognition system belarusian state universityof informatics and radioelectro | ru |
| dc.type | Working Paper | ru |