ItemBook Chapter

Three-level biometric digital voting system

Title
Three-level biometric digital voting system
Creator
Kumar, Prashant; Poonia, Ramesh Chandra; Shanbhog, Manjula
Description
The aim of this research paper is to design and develop a new model of electronic voting machine (EVM) with enhanced features, that are not present in the current EVM model. The paper proposes the new model of EVM that uses biometric identifiers, such as fingerprints, iris recognition, and facial recognition, to make voting more secure and efficient. Previously, voting was done with paper ballots. This method suffered from issues like over voting, lost or misplaced ballots, and it consumed a lot of time in counting paper ballots and was also harmful for the environment due to the use of papers. The new EVM system aims to solve those issues because many security levels are added to this EVM system. It can use biometric identifiers to ensure each voter is authenticated securely and records their votes accurately. This EVM system can prevent fraud, such as voter casting multiple votes or a person illegally voting on behalf of others. The system first verifies the voters, and then the voters can cast their votes. 2026 selection and editorial matter, Dr. Poonam Nandal, Dr. Mamta Dahiya, Dr. Meeta Singh, Dr. Arvind Dagur, Dr. Brijesh Kumar. All rights reserved.
Source
Progressive Computational Intelligence, Information Technology and Networking;pp.486-491
Date
01-01-2025
Publisher
CRC Press
Subject
Biometric identifiers; Eacial recognition; Election fraud prevention; Fingerprint verification; Iris recognition
Coverage
Kumar P., CHRIST University, Bengaluru, India; Poonia R.C., CHRIST University, Bengaluru, India; Shanbhog M., CHRIST University, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104042391-2; 978-104109427-2;
Format
online
Language
English
Type
Book chapter

Citation

Kumar, Prashant; Poonia, Ramesh Chandra; Shanbhog, Manjula, “Three-level biometric digital voting system,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24453.

Output Formats