Paper Title

Online Smart Voting System Using Image Processing And CNN

Authors

Sherkar Sonali Shivaji , Chandar Nikita Dnyaneshwar , Gade Gayatri Madan , Pawar Gayatri Annasaheb , Patil Pradip A.

Keywords

Online Website voting, Face Capturing, Face recognition using Haar cascade, preprocessing of fingerprints images, Fingerprints images matccascad using CNN.

Abstract

India being a democratic country, still conducts its elections by using voting machines, which involves high cost and manual labor. Web-based system enables voter to cast their votes from anywhere in the world. Online website has a prevented IP address generated by the government of India for election purpose. People should register the name and address in the website. Election commission will collect the fingerprint and face image from the voters. The database or server will store the images. When the images are obtained on the casting day, it will be compared with database and provides a secured voting on the Election Day. System utilizes faces and fingerprints to unlock the voting system, similar to the mobile phone are used. The current system requires the physical presence of voter, which is inconvenient to many voters. The process consumes less times well. Using the detection of face and fingerprint images, the number of fake voters can be reduced. The eyes and eyebrows distance remains constant with growing age to make the system more secure. This research work utilizes ten print images to detect the correct name of voter.

How To Cite

"Online Smart Voting System Using Image Processing And CNN", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.379 - 384, May-2022, Available :https://ijsdr.org/papers/IJSDR2205072.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 379 - 384

Other Publication Details

Paper Reg. ID: IJSDR_200389

Published Paper Id: IJSDR2205072

Downloads: 000347214

Research Area: Computer Engineering 

Country: Nashik, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2205072

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2205072

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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