EIGENFACE ALGORITHM BASED ELECTRONIC VOTING MACHINE

Authors

  • VenkataRamakoteswararao T. Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author
  • Bhaskarrao Y. Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author

DOI:

https://doi.org/10.61841/vn4gxn91

Keywords:

evm,face recognition, election, eigen faces

Abstract

In the process of electing a leader, the earlier system used was the ballot box, which shows false data analysis, and recently electronic voting machines are being used. In using these EV's, the unique ID (UID) and voter ID (EID) are enough to cast the vote. But, these processes lead to enhanced fake results where the voters can vote multiple times and chances of getting tampered. Recently, so many issues and queries have been raised about the falseness of the voting system. In order to avoid these demerits, a new voting methodology where at first the unique ID is verified, then the election ID is checked, and then face recognition is performed by using the eigenfaces algorithm based on a database given by the election commission. This method gives precise results by preventing multiple votes, and authorized voters can be allowed to cast the vote. 

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References

1. Saini, Sanjay, and Joydip Dhar. "An eavesdropping proof secure online voting model." International Conference on Computer Science and Software Engineering, vol. 3, pp. 704-708, 2008.

2. Gunlu, Goksel. "DSP-based modular face recognition system." In 4th European Education and Research Conference (EDERC 2010), pp. 28-31, 2010.

3. Gurubasavanna, M. G., Saleem Ulla Shariff, R. Mamatha, and N. Sathisha. "Multimode authentication-based electronic voting kiosk using Raspberry Pi." 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on, pp. 528-535, 2018.

4. Hasan, Syed Mahmud, Md Tahmid Rashid, Md Shadman Sakib Chowdhury, and Md Khalilur Rhaman. "Development of a credible and integrated electronic voting machine based on contactless IC cards, biometrie fingerprint credentials, and POS printer." IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-5, 2016.

5. Nagamma, N. N., T. Narmada, M. V. Lakshmaiah, V. Ramesh, and G. Pakardin. "VNC server-based EVM system." International Conference on Energy, Communication, Data Analytics, and Soft Computing (ICECDS), pp. 802-805, 2017.

6. Rezwan, Rahil, Huzaifa Ahmed, M. R. N. Biplob, S. M. Shuvo, and Md. Abdur Rahman. "Biometrically secured electronic voting machine." IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 510-512, 2017.

7. Alam, Muhammad Raisul, Md Masum, Mostafizur Rahman, and Arifur Rahman. "Design and implementation of a microprocessor-based electronic voting system." 11th International Conference on Computer and Information Technology, pp. 264-269, 2008.

8. Priya, V. Kiruthika, V. Vimaladevi, B. Pandimeenal, and T. Dhivya. "Arduino-based smart electronic voting machine." International Conference on Trends in Electronics and Informatics (ICEI), pp. 641-644, 2017.

9. Cucurull, Jordi, Sandra Guasch, Alex Escala, Guillermo Navarro-Arribas, and Victor Acín. "Qr steganography: A threat to new generation electronic voting systems." 11th International Conference on Security and Cryptography (SECRYPT), pp. 1-8, 2014.

10. Kumar, D. Ashok, and T. Ummal Sariba Begum. "Electronic voting machine—A review." In International Conference on Pattern Recognition, Informatics, and Medical Engineering (PRIME-2012), pp. 41-48., 2012.

11. Murshed, Manzur, Tishna Sabrina, Anindya Iqbal, and Mortuza Ali. "Verifiable and privacy-preserving electronic voting with untrusted machines." 12th IEEE International Conference on Trust, Security, and Privacy in Computing and Communications, pp. 798-804, 2013.

12. Jagtap, A. M., Vishakha Kesarkar, and Anagha Supekar. "Electronic Voting System using Biometrics, Raspberry Pi, and TFT Module." 3rd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 977-982, 2019.

13. Bhuvanapriya, R., P. Sivapriya, and V. K. G. Kalaiselvi. "Smart voting." 2nd International Conference on Computing and Communications Technologies (ICCCT), pp. 143-147, 2017.

14. E Ansari, Nirwan, Pitipatana Sakarindr, Ehsan Haghani, Chao Zhang, Aridaman K. Jain, and Yun Q. Shi. "Evaluating electronic voting systems equipped with voter-verified paper records." IEEE Security & Privacy 6, no. 3, 30-39, 2008.

15. Ali, Sahibzada Muhammad, Chaudhary Arshad Mehmood, Ahsan Khawja, Rahat Nasim, Muhammad Jawad, Saeeda Usman, Sikandar Khan, Saqib Salahuddin, and Mian Atif Ihsan. "Micro-controller-based smart electronic voting machine system." In IEEE International Conference on Electro/Information Technology, pp. 438-442, 2014.

16. Bohli, Jens-Matthias, Christian Henrich, Carmen Kempka, JÖrn Müller-Quade, and Stefan Rohrich. "Enhancing electronic voting machines on the example of bingo voting." IEEE Transactions on Information Forensics and Security 4, No. 4, 745-750, 2009.

17. Yang, Chung-Huang, Shih-Yi Tu, and Pei-Hua Yen. "Implementation of an electronic voting system with contactless IC cards for small-scale voting." Fifth International Conference on Information Assurance and Security, vol. 2, pp. 122-125, 2009.

18. Kadam, Shashank S., Ria N. Choudhary, Sujay Dandekar, Debjeet Bardhan, and Namdeo B. Vaidya. "Electronic Voting Machine with Enhanced Security." 3rd International Conference on Communication and Electronics Systems (ICCES), pp. 403-406, 2018.

19. Jiang, Zhuoda. "Support vector machines for multi-class pattern recognition based on improved voting strategy." Chinese Control and Decision Conference, pp. 517-520, 2010.

20. Anandaraj, S., R. Anish, and P. V. Devakumar. "Secured electronic voting machine using biometric." International Conference on Innovations in Information, Embedded, and Communication Systems (ICIIECS), pp. 1-5, 2015.

21. Balarani, R. Efficient Architecture for Median Filter for Image Enhancement. International Journal of MC Square Scientific Research, 2(1), 19-21, 2010.

22. Saravanan, N. Hand Geometry Recognition based on Optimized K-means Clustering and Segmentation Algorithm. International Journal of MC Square Scientific Research, 5(1), 11-14. 2013.

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Published

30.04.2020

How to Cite

T., V., & Y., B. (2020). EIGENFACE ALGORITHM BASED ELECTRONIC VOTING MACHINE. International Journal of Psychosocial Rehabilitation, 24(2), 5837-5842. https://doi.org/10.61841/vn4gxn91