08-01-2014, 02:46 PM
Improving Speed and Security of EVM’s using Finger Print and Face Recognition
Abstract
Electronic voting system as adapted by many nations as a mode of electing contestants has been proved to be susceptible to tampering and rigging. The common voting machine lags proper way of authentication of voters. In the present scenario, authentication of voters is done manually in the polling station. A system which uses two biometrics for authentication purpose ensures only eligible candidates vote and just once. The fact that every individual has unique fingerprint is exploited and used as one of the authentication tool. Face recognition is another tool used for authentication purpose. The overall system comprises of a fingerprint module along with the camera using ARM processor. Face recognition makes use of MATLAB for developing Eigen faces during initial training phase after which the system is completely stand-alone.