Design of dual-model embedded finger vein and texture on dorsal recognition auto-guard system
In order to improve the convenience and safety of the auto-guard system, a dual-model biometric recognition system of finger vein texture on dorsal is applied. Finger vein recognition is a living recognition technology, which can effectively prevent spoof attacks. This paper uses Phytium Ft-2000/4 d...
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Published in | 2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT) pp. 456 - 459 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
22.11.2021
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Subjects | |
Online Access | Get full text |
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Summary: | In order to improve the convenience and safety of the auto-guard system, a dual-model biometric recognition system of finger vein texture on dorsal is applied. Finger vein recognition is a living recognition technology, which can effectively prevent spoof attacks. This paper uses Phytium Ft-2000/4 development board as the embedded development platform, and the debain10 operating system is mounted on it to simulate the on-board system. Combined with the self-designed image acquisition module, the core functions of near-infrared imaging, region of interest extraction, dorsal finger vein and finger dorsal texture extraction, matching and recognition are realized and it is applied to the business system of auto-guard to simulate the interaction and application among users, door lock and on-board system. Experiments show that the system is convenient, safe and reliable, and has strong application and popularization value. |
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DOI: | 10.1109/ICESIT53460.2021.9696679 |