IRO Journals

Journal of Information Technology and Digital World

Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2

Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2

Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4

PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3

Is Internet becoming a Major Contributor for Global warming - The Online Carbon Footprint
Volume-2 | Issue-4

Augmented Reality in Education
Volume-2 | Issue-4

A Study on Various Task-Work Allocation Algorithms in Swarm Robotics
Volume-2 | Issue-2

IoT based Biotelemetry for Smart Health Care Monitoring System
Volume-2 | Issue-3

Tungsten DiSulphide FBG Sensor for Temperature Monitoring in Float Glass Manufacturing
Volume-2 | Issue-4

GUI based Industrial Monitoring and Control System
Volume-3 | Issue-2

AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT
Volume-1 | Issue-1

Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4

Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2

Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2

VIRTUAL REALITY GAMING TECHNOLOGY FOR MENTAL STIMULATION AND THERAPY
Volume-1 | Issue-1

Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain
Volume-3 | Issue-3

Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century
Volume-4 | Issue-3

PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3

Image Augmentation based on GAN deep learning approach with Textual Content Descriptors
Volume-3 | Issue-3

Comparative Analysis for Personality Prediction by Digital Footprints in Social Media
Volume-3 | Issue-2

Home / Archives / Volume-5 / Issue-2 / Article-6

Volume - 5 | Issue - 2 | june 2023

Biometric based Mobile Voting Application
C. M. Nalayini  , K. Vishnupriya, A. Dhivyabharathi, H. Yuvapriya
Pages: 159-168
Cite this article
Nalayini, C. M., Vishnupriya, K., Dhivyabharathi, A. & Yuvapriya, H. (2023). Biometric based Mobile Voting Application. Journal of Information Technology and Digital World, 5(2), 159-168. doi:10.36548/jitdw.2023.2.006
Published
22 June, 2023
Abstract

With a population of more than one billion, India is the largest democracy in the world. Its electorate is more than 668 million people and includes 543 congressional districts. Each Indian citizen above 18 years of age is entitled to vote in elections to choose their leaders. The traditional method of voting involved paper ballot voting and at present Electronic Voting Machines (EVM) are employed. The goal of the mobile voting system research is to create a software that makes voting simple in all elections. This system aims to increase election security by using a fingerprint recognition algorithm for voter identity authentication. This allows all eligible voters to participate in the election from any place. There are some circumstances like COVID epidemic where a physical election is not feasible, and this model overcomes it. It helps to provide reliable, timely, and accurate election results. Voter ID, Aadhar ID and biometric system (fingerprint) are used by the website for user login.

Keywords

Democracy Paper ballot electronic voting machine biometric system.

Full Article PDF
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
For single article (Indian)
1,200 INR
Article Access Charge
For single article (non-Indian)
15 USD
Open Access Fee (Indian) 5,000 INR
Open Access Fee (non-Indian) 80 USD
Annual Subscription Fee
For 1 Journal (Indian)
15,000 INR
Annual Subscription Fee
For 1 Journal (non-Indian)
200 USD
secure PAY INR / USD
Subscription form: click here