Online Voting Using Face Recognition and Password Based Security System
semanticscholar(2017)
Abstract
In the online voting system, people can vote through the internet. In order to prevent voter frauds, we use two levels of security. In the first level of security, the face of the voter is captured by a web camera and sent to the database. Later, the face of the person is verified with the face present in the database and validated using Matlab. The comparison of the two faces is done using Local Binary Pattern algorithm. The scheme is based on a merging an image and assigns a value of a central pixel. These central pixels are labeled either 0 or 1. If the value is a lower pixel, a histogram of the labels is computed and used as a descriptor. LBP results are combined together to create one vector representing the entire face image. A password (OTP) is used as the second level of security, after entering the one time password generated to their mail it is verified and allow to vote. It should be noted that with this system in place, the users, in this case, shall be given an ample time during the voting period. They shall also be trained on how to vote online before the election time.
MoreTranslated text
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined