Paper Title

E VOTING SYSTEM USING FACIAL RECOGNITION

Authors

Gudiwaka Vijaya Lakshmi , Marada Jagadeesh

Keywords

E Voting, FACIAL Recognition, Block chain

Abstract

An Election is a method of selection of individuals to hold the public office in democracy. Ballot is basically a piece of paper that is used to cast vote during election. In ballot paper voting system, each voter uses a ballot paper which is not shared and basically it is a paper printed with the name and symbols of the candidates. The Electronic Voting Machine is basically a memory recorder which records the vote casted by the voters. In this paper, main advantages of E-voting systems for country are highlighted, along with that OTP through recognition is also one of the main advantages, it is using blockchain & Ethereum tool in this project. For constructing E-voting systems, all countries need to do great attention to Verification and Validation requirements. In this research, E-voting scheme with face recognition using Open CV technique is proposed. The process of casting vote is accomplished by blockchain technology and blind signature mechanism. The main objective of the proposed scheme is to explore the positive effects of security and safety in online voting system.

How To Cite

"E VOTING SYSTEM USING FACIAL RECOGNITION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.d71-d82, October-2024, Available :https://ijnrd.org/papers/IJNRD2410310.pdf

Issue

Volume 9 Issue 10, October-2024

Pages : d71-d82

Other Publication Details

Paper Reg. ID: IJNRD_301588

Published Paper Id: IJNRD2410310

Downloads: 00018

Research Area: Science and Technology

Country: Vizianagaram, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410310

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410310

About Publisher

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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