• Malathi L
• Akshaya M V
• Baraniaiswarya B
• Homalaa R S

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, that 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 an intelligent security system. Here we developed voting machine concept. If finger vein matched, means we can vote, counting information passing via GSM technology.

Biometric, Deep Learning, Embedded, E-Voting, Feature Extraction, Finger Vein

"FINGER-VEIN RECOGNITION SYSTEM FOR E-VOTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c621-c626, May-2022, Available :http://www.jetir.org/papers/JETIR2205283.pdf

"FINGER-VEIN RECOGNITION SYSTEM FOR E-VOTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc621-c626, May-2022, Available at : http://www.jetir.org/papers/JETIR2205283.pdf