Enhancement of Electronic Voting Machine Performance Using Fingerprint and Face Recognition

Abstract

This paper presents, the enhancement of Electronic Voting Machine (EVM) performance using fingerprint and face recognition. In democratic countries, the EVM plays a vital role in the election process. Even though it has more benefits; still the malpractices are continued due to manual verification of electoral documents for all elections in democratic countries. In this proposed method EVM with biometric fingerprint and face recognition devices are used to overcome this problem. To conquer the issues existing in the election process for voter identification the biometric fingerprint and web cameras are introduced in the EVMs. The people at the polling booth need to put the finger in the fingerprint equipment and face to be captured by the web camera provided to recognize them. The controller fetches the data from the input devices and compares it with the database to enable the polling device to cast their votes. In practice, due to some technical issue either in the input devices or from the voter side the election process will be continued by document verification. In the polling booths, the presiding officers are having the right to enable the polling device by pressing the enable button after document verification. The performance of the proposed method was validated with EVM successfully.