An FPGA Implementation Of Real-Time Finger-Vein Recognition System For Security Levels

2014 
In this project, we propose a real-time embedded finger-vein recognition system (FVRS) for authentication on mobile devices. The system is implemented on an embedded platform and equipped with a novel finger-vein recognition algorithm. The proposed system consists of four hardware modules: radio frequency identification system, image acquisition module, embedded main board, and human machine communication module. RFID module will start the very initial communication between the user and the device The image acquisition module is used to collect finger-vein images. The Spartan 3AN FPGA is used to execute the finger-vein recognition algorithm and communicate with the peripheral device. The human machine communication module (LED or keyboard) is used to display recognition results and receive inputs from users.
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