A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition

Electronic voting machine (EVM) was introduced in 20th centuries, it is widely used. Traditional Electronic Voting Machines can stores only voting count of each candidate. Voter identification and allow for vote is done manually by Polling Officer using voter list. Polling officer use an indelible ink for identifying the fraudulent voter. These methods require additional man power. To overcome these problems, we proposed new technique which is based on Internet of Things (IOT). Here we are connecting voting machine to Internet of things. The user initially as to enroll their faces and their finger print with an id. Later while voting, the users has to enter his Aadhaar id when it matches then he goes for finger print, if any matches the monitor displays id and party short names of every party. The user has to enter that party id using keypad module. Then the party icon will display in the monitor. The vote count of that party will gets incremented and the total vote counts of every party should be updated to the server. As the system using both biometric and the camera, if anyone of them matches the citizen is allowed to vote. The server gets the voter registration id and the vote count of every party. Based on this data, the server sends an email and a message as thanks for voting and also it compares the votes count of every party and shows the leading party.

Keywords: Raspberry Pi, Automatic Counting, Face Recognition, Fingerprint Authentication, IOT.