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Biometric Security based Intelligent E-Voting System

by Sanjay Kumar, Manpreet Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 4
Year of Publication: 2015
Authors: Sanjay Kumar, Manpreet Singh
10.5120/20546-2918

Sanjay Kumar, Manpreet Singh . Biometric Security based Intelligent E-Voting System. International Journal of Computer Applications. 117, 4 ( May 2015), 33-41. DOI=10.5120/20546-2918

@article{ 10.5120/20546-2918,
author = { Sanjay Kumar, Manpreet Singh },
title = { Biometric Security based Intelligent E-Voting System },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 4 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number4/20546-2918/ },
doi = { 10.5120/20546-2918 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:28.914150+05:30
%A Sanjay Kumar
%A Manpreet Singh
%T Biometric Security based Intelligent E-Voting System
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 4
%P 33-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to advancement in information and communication technology (ICT), E-voting can easily be implemented in electoral process by using available services from locations and at time that are convenient to public to cast their vote with no restriction on geographical location. Security is one of the most important parameter in E-voting system. This research work is an attempt to make the existing E-voting system intelligent enough to ensure security aspect of electoral process specially regarding voter authentication, vote casting authenticity and mobility to avoid fake voting and to maximize the percentage of vote cast despite of corrupted (partial) input presented on EVM (Electronic Voting Machine) during vote casting.

References
  1. Sahoolizadeh, H. ;Ghassabeh, Y. A. "Face recognition using eigen-faces, fisher-faces and neural network", Proc. 7th IEEE International Conference on Cybernetic Intelligent Systems, pp 1-6, London, 2008.
  2. A. Jain, R. Bolle, S. Pankanti Eds, "BIOMETRIC - Personal Identification in Networked Society", Kluwer Academic Publishers, Boston/ Dordrecht/ London, 1999.
  3. Smith, Lindsay. " A tutorial on Principal Components Analysis". (www. cs. otago. ac. nz/cosc453/student_tutorials/principal_components. pdf)
  4. Noha E. El-Sayed etc, "Face recognition as an authentication technique in electronic voting", in IJCSA, Vol. 4, No. 6, 2013.
  5. Chesnut, C. 2004, " Chesnut tablet pc ocr with neural network AI". Retrived April 13, 2010, from http://www. generation5. org/content/2004/aiTabletocr. asp
  6. V. C. Ossai, et. Al. , "Enhancing E-voting systems by Leveraging Biometric Key Generation (Bkg)" in American journal of Engineering research (AJER), Vol. 2, Issue-10, pp. 180-190, 2013.
  7. Available online at http://www. academicjournals. org/SRE.
Index Terms

Computer Science
Information Sciences

Keywords

EVM ICT AVM Fault Tolerance Authentication Security Fingerprint Biometric.

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