A Survey on Performing E-Voting through Facial Recognition

Authors

  • Pratik Hopal  Information Technology Department, AISSMS Institute of Information technology, Pune, Maharashtra, India
  • Alkesh Kothar  Information Technology Department, AISSMS Institute of Information technology, Pune, Maharashtra, India
  • Swamini Pimpale  Information Technology Department, AISSMS Institute of Information technology, Pune, Maharashtra, India
  • Pratiksha More  Information Technology Department, AISSMS Institute of Information technology, Pune, Maharashtra, India
  • Jaydeep Patil  Information Technology Department, AISSMS Institute of Information technology, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/IJSRST218318

Keywords:

Facial feautures, E-Voting, Recurrent Neural networks.

Abstract

The election procedure is one of the most essential processes to take place in a democracy. Even though there have been immense technological advancements, the process of election has been highly limited. Most of the election procedures have been performed using ballot boxes which is an old process and needs to be updated. The security of such practices is also a concern as the identification of the voters is being done manually by the election officers. This process also needs an improvement to increase accuracy and reduce human errors by automating the process. Therefore, for this purpose, this research article analyzes the previous researches on this paradigm. This allows an effective understanding of the machine learning algorithms that are used for automatic facial recognition in the E-voting systems. This paper comes to the conclusion that the Recurrent Neural Networks are best suited for such an application for facial recognition. The future editions of this research will elaborate more on the proposed system in detail.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pratik Hopal, Alkesh Kothar, Swamini Pimpale, Pratiksha More, Jaydeep Patil, " A Survey on Performing E-Voting through Facial Recognition, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 8, Issue 3, pp.141-147, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST218318