A web-based biometric system for e-voting

Voting is an important activity, and it is an inevitable event in our everyday life. Voting has been conducted in various ways some of which are the use of ballot papers or raising of hands and further collating its statistics manually. The election process in Nigeria has a lot of vulnerabilities, ranging from when the users are casting their votes manually to when the votes are being counted by officials. In previous years Nigerian elections has had a lot of controversy concerning its accuracy and efficiency.The major reason for this research is to reduce the rate of corruption in voting and further make it easier for citizens of Nigeria to cast their votes. An electronic voting system is proposed that make use of two-level authentication system, the National Identification Number (NiN) and the facial recognition of voters. The system was implemented using technologies like HTML (Hypertext Markup Language), CSS (Cascade Styling Sheet), JS (JavaScript) language used for the client-side and node JS (JavaScript) used on the server-side. Mongo DB was used as the database.The results of evaluation of the system are very encouraging, 87.7% of the respondent attest to how the integration of the application and its functionality. There was a positive respond for determining the speed of page transition. 87.7% says the loading time of the web application is very good.Based on the evaluation of this system and its performance, the e-voting system is therefore recommended to be used in Nigeria for next election.