Automated Voter System by Using Fingerprint and Offline Data Set with Texture Image Processing

Abstract

Finger print and offline data set are important identities of the candidate in voting process. It is used to fulfil the user requirements. It has simple architecture and gives instant response. It decreases the polling time. Transportation is very easy from one station to other station, and usage of manual power has also reduced. It gives accurate result at the time of counting without committing mistakes. Fingerprint module is an automated system used to identify the person’s fingerprint and verify it. This is a part of biometric. It mainly focuses on finding the pattern of fingerprint feature images with the help of some standard algorithms of image processing. After authentication of fingerprint, data set will be sent to offline data section immediately, which is already in data set based on texture image techniques. Once both data sets are compared with individual data, then it confirms that voter is genuine and vote casting process is completed successfully with high efficiency. And also we are focusing on issues like when the fingerprint module certifies a voter as a genuine person, but offline data sets fail to recognize the same voter as a genuine person. Immediately notification section will send the information to election commission main server which verifies how many are satisfied with only fingerprint module, how many are satisfied with only offline data set and total number of voters who are satisfied with both the data sets. In this way, our designed device helps the users in their vote casting process.