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...

Full description

Saved in:
Bibliographic Details
Published in2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT) pp. 456 - 459
Main Authors Chen, Liukui, Yang, Tianqi, Sun, Weiyei, Tang, Li, Li, Zuojin, Du, Yao
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.11.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
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.
DOI:10.1109/ICESIT53460.2021.9696679