A real time embedded novel finger-vein recognition system for authenticated on teller machine

Abstract

In this project, a real-time embedded finger-vein recognition system for authentication on teller machine. The system is implemented on an embedded platform and equipped with a novel finger-vein recognition algorithm. The proposed system consists of three hardware modules: image acquisition module, embedded main board, and human machine communication module. The structure diagram of the system is, the image acquisition module is used to collect finger-vein images. The Embedded main board including the Microcontroller chip, memory (flash), and communication port 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. Our proposed system is intelligent security system. Here we developed teller machine concept. If finger vein matched, means transaction successful via GSM technology.