Online Smart Voting System using Face Recognition


Authors : S. Ashok Kumar; A. Muhammad Marzooq; U. Ranjithkumar; S. Romario; P. Surya

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/40Kxx3U

DOI : https://doi.org/10.5281/zenodo.7780046

Abstract : - An online voting system using face recognition is adigital platform designed to enhance the security and accuracy of the voting process. The system utilizes facial recognition technology to verify the identity of voters, ensuring that only eligible voters can participate in the election. This system eliminates the need for physical polling stations, reducing costs and increasing accessibility for voters. The abstract of this system would detail its features, including its ability to authenticate voter identities, securely store votes,and prevent fraud. It would also discuss the benefits of using such a system, such as increased voter turnout and improvedtransparency in the electoral process. Object Detection using Haar featurebased cascade classifiers is an effective object detection method. Local Binary Pattern (LBP) is a simple yetvery efficient texture operator which labels the pixels of an image. Then the server checks for the data from the databaseand compares that data which is already existing in database.If the data matches with the already stored information, the person is allowed to poll the vote. If not, a message is displayed on the screen and therefore the person is not allowed to poll the vote. Overall, an online voting system using face recognition technology has the potential to revolutionize the way we conduct elections, making the process more efficient, secure, and accessible for all.

Keywords : Face Recognition, Haar Cascade, LBPH, User Authentication.

- An online voting system using face recognition is adigital platform designed to enhance the security and accuracy of the voting process. The system utilizes facial recognition technology to verify the identity of voters, ensuring that only eligible voters can participate in the election. This system eliminates the need for physical polling stations, reducing costs and increasing accessibility for voters. The abstract of this system would detail its features, including its ability to authenticate voter identities, securely store votes,and prevent fraud. It would also discuss the benefits of using such a system, such as increased voter turnout and improvedtransparency in the electoral process. Object Detection using Haar featurebased cascade classifiers is an effective object detection method. Local Binary Pattern (LBP) is a simple yetvery efficient texture operator which labels the pixels of an image. Then the server checks for the data from the databaseand compares that data which is already existing in database.If the data matches with the already stored information, the person is allowed to poll the vote. If not, a message is displayed on the screen and therefore the person is not allowed to poll the vote. Overall, an online voting system using face recognition technology has the potential to revolutionize the way we conduct elections, making the process more efficient, secure, and accessible for all.

Keywords : Face Recognition, Haar Cascade, LBPH, User Authentication.

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