e-Voting System using Fingerprint and Face Recognition Authentication with Blockchain
N R Deepak, Simran Taj, Syed Khizer, Syed Waqeer, Tasneem Fathima · Zenodo (CERN European Organization for Nuclear Research) · 2021
Current elections do not satisfy the citizens and political parties in recent years. The votes aren't fully protected as it is easy to attack votes, or even gain votes in a fraudulent way. The voters can also be threatened for the transparency of the votes. Additionally, more time consumption for vote counting. This project gives a solution by using these two authentications like Finger print, Face detection and the votes are stored in blockchain as hash values encrypted using SHA-256, which expels entire drawbacks of conventional elections. Voting security and data integrity is guaranteed by the usage of blockchain. The system ensures voter privacy. In addition, the time spent for the results of the proposed Blockchain voting method is reduced.