Published May 14, 2020
| Version v1
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Literature Survey on Secured Balloting System
Authors/Creators
- 1. Student, Department of Computer Science, Sahrdaya College of Engineering and Technology, Thrissur, India.
- 2. Associate Professor, Department of Computer Science, Sahrdaya College of Engineering and Technology, Thrissur, India.
Description
Nowadays, illegal practices of voting happens, mainly the illiterate people are being cheated. Thus, affecting the democracy of the nation. We need to ensure that the rights of each and every voter have to be ensured by providing a tight security and an efficient way of voting method. To overcome this scenario, we proposed the secured balloting system. This system is implemented by verifying the voter details through three screening levels which includes face recognition, fingerprint scanning, iris scanning. Thus, helps in avoiding the scenario of illegal voting and helps in producing robust results.
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References
- Association Headquarters. (2018). What are Public Opinion Polls? Accessed: Jan. 31, 2019. [Online]. Available: https://www.historians.org/about-ahaand-membership/aha-history- andarchives/go-roundtableseries/pamphlets/em-4-are-opinionpolls-useful-(1946)/what-are-publicopinion-polls.
- A. Wells. UK Polling Report. Accessed: Jan. 31, 2019. [Online]. Available: http://ukpollingreport.co.uk/.
- Roy, Kaushik, Prabir Bhattacharya, and Ching Y. Suen. Towards nonideal iris recognition based on level set method, genetic algo- rhythms and adaptive asymmetrical SVMs. Engineering Applications of Artificial Intelligence. 2011.24(3):458-475p.
- M. Blumenthal. Trump Approval Poll. Accessed: Jan. 31, 2019. [Online]. Available: https://www.surveymonkey.com/curio sity/trump- approval-poll/.
- R. Szewczyk, K. Grabowski, M. Napieralska, W. Sankowski, M. Zubert, and A. Napieralski. A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform. Pattern Recognit. Lett.2012.33(12):1019–1026p.
- Murty, PSR Chandra, and E. Sreenivasa Reddy. Iris Recognition system using Principal Components of Texture Characteristics. TECHNIA International Journal of Computing Science and Communication Technologies. 2009.
- M. R. Clarkson, S. Chong, and A. C. Myers. Civitas: Toward a secure voting system. Proc. IEEE Symp. Secur. Privacy (SP).2008:354–368p.
- F. Zago´rski, R. T. Carback, D. Chaum, J. Clark, A. Essex, and P.L. Vora. Remotegrity: Design and use of an end-to-end verifiable remote voting system. Applied Cryptography and Network Security, M. Jacobson, M. Locasto, P. Mohassel, and R. SafaviNaini, Eds. Berlin, Germany: Springer, 2013:441–457p.
- D. Chaum et al. Scantegrity II: Endto-end verifiability for optical scan election systems using invisible ink confirmation codes. Proc. Electron. Voting Technol., 2008:1–13p.
- Bronstein, A., Bronstein, M., Gordon, E., And Kim- Mel, R. 3D face recognition using geometric invariants. International Conference on Audio- and Video-Based Person Authentication.2003.
Subjects
- Computer Science Engineering
- http://hbrppublication.com/journals.html