LDA FACE RECOGNITION FOR SECURE VOTING SYSTEM

Authors

  • priyanka Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author
  • jagadeesh Research Scholar, Department of CSE, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal, MP, India Author

DOI:

https://doi.org/10.61841/zz620502

Keywords:

raspberry pi, camera, face recognition, fingerprint sensor

Abstract

The Electronic Voting Machine (EVM) is utilized to record the vote cast by people in general rather than polling form papers utilized in conventional democratic frameworks. EVM is a basic gadget that is worked effectively by the surveying officials and the voters. A portion of the residents are not ready to be introduced on the day of the political decision because of some legitimate reasons or because of outstation. Another framework is being proposed right now to increment the level of casting a ballot called e-casting a ballot framework, which helps the individuals who are not ready to go to their particular surveying stall upon the arrival of a political decision because of legitimate reasons. 

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References

1. Ashok Kumar D., Ummal Sariba Begum T., A Novel Design of Electronic Voting System Using Fingerprint, International Journal of Innovative Technology & Creative Engineering (ISSN: 2045-8711), Vol. 1, pp. 12–19, January 2011.

2. Dr. S. Viswan Aadhaaraju, P. Vidyasree, and Madhavi Gudavalli,Reinforcing the security in India's Voting Process through Biometrics," international conference on advanced computer science and information technology, Chennai, September 2014.

3. P. Siva Selvi, D. Sangavi, A. Swathi, and T. Sowmya, "Electronic voting machine with biometric verification using raspberry pi,International journal of advanced science and engineering research, April 2017.

4. "Electronic voting machine data acquisition and analysis" by www.sunvote.com/cn/voting-solution/votingsystem.

5. Patil Rahul H, TarteBabita B, Wadekar Sapana S, Zurunge Bhakti S, and Prof. Phursule R, A Secure E-Voting System Using Face Recognition. 2015.

6. https;//circuitdigest.com

7. K.Dinakaran,P.Aravindkumar,E.Bagavathi,M.Kathireshkumar,R.Madhankumar"Smart Electronic Voting Machine Using Raspberry Pi,International Journal of Advance Research in Electrical, March 2019

8. Mrs. Sneha S.Lad, Pranav N. Tonape, Rohit S.Bhosale, Jayesh A.Shingole, and Vinayak S.Kumare''E-Voting and Presentee Muster Using Raspberry PI 2 Modules,"IJIREEICE, May 2016.

9. Daniel Petcu, Dan Alexandru Stoichescu, “A Hybrid Mobile Biometric-Based E-Voting System. The International Symposium on Advanced Topics in Electrical Engineering, 7-9, 2015.

10. Hazzaa, Firas I., Seifedine Kadry, and Oussama Kassem Zein. "Web-Based Voting System Using Fingerprint: Design and Implementation." International Journal of Computer Applications in Engineering Sciences, ISSN 2231-4946, 2012.

11. Shanmugan, K.. GENDER CLASSIFICATION FROM THE IRIS CODE USED FOR RECOGNITION. International Journal of MC Square Scientific Research, 9(1), 218-229, 2017.

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

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Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

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How to Cite

priyanka, & jagadeesh. (2020). LDA FACE RECOGNITION FOR SECURE VOTING SYSTEM. International Journal of Psychosocial Rehabilitation, 24(2), 5815-5820. https://doi.org/10.61841/zz620502