Retraction: Automatic Voting System Using Convolutional Neural Network

3Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Electoral fraud or election fraud is an illegal intervention in the process of election, in which voters vote repeatedly for a favored party thereby increasing vote share. In Order to conduct elections ethically, this election fraud should be eliminated. Hence, the automatic voting system using Convolutional Neural Network (CNN) has been proposed. The Existing systems are time-consuming and difficult-to-maintain since they include manual processes. Presently different kinds of biometric processes available, among that face detection is the most effective. The proposed system develops an automatic voting system without any human intervence. This system includes a camera for capturing the images of electors, captured images will be stored in the database for analysis. data analysis will be performed on the database. In this method, all the label images are trained through the convolutional neural network to predict the output by classifying the images. This classification system produces an accuracy of approximately 90%.

Cite

CITATION STYLE

APA

Sruthi, M. S., & Shanjai, K. (2021, May 27). Retraction: Automatic Voting System Using Convolutional Neural Network. Journal of Physics: Conference Series. Institute of Physics. https://doi.org/10.1088/1742-6596/1916/1/012074

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free