Open Access

Integration of Biometric sensor with Aadhaar for Voting Process

N. Thamizharasan, tamilwarrior21@gmail.com
Department of Computer Science, Chikkanna Government Arts College, Tirupur, TN, India.
A. Geetha Department of Computer Science, Chikkanna Government Arts College, Tirupur, TN, India.


J. Environ. Nanotechnol., Volume 6, No 1 (2017) pp. 19-22

https://doi.org/10.13074/jent.2017.03.171237

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Abstract

With the concurrence and the consent of the Election Commission of India, Biometric sensor can be integrated with Aadhaar system, along with the EVM (Electronic Voting Machine), to ensure the authenticity of the voters and to avoid challenged (Fake) votes. In our existing election system, the main challenge we face is the problem of challenged votes. This issue can be addressed by implementing Biometric sensor along with the EVM. As the majority of the citizens are provided with Aadhaar card, which consists of the finger print pattern, along with the other necessary details, it is easy for the sensor to be synchronized with the Aadhaar database. The proposed system is implemented with the Biometric sensor, which identifies the finger print pattern, once the voter places his left hand index finger. The sensor is integrated with the data of that polling booth alone. Thereby, the search and retrieval time process can be minimized. The polling officer who monitors the green signal and the beep sound from the sensor allow the voter to proceed to vote. Once the sensor establishes the authenticity of the voter to cast his vote. Otherwise, the red light on the EVM indicates that he/she is not valid voter.

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Reference


lex C. Kot  and Sheng Li, A Novel System for Finger Print Privacy Protection, Int. Conf. Info. Ass. Sec., 2011.

doi:10.1109/isias.2011.6122830

Anil K. Jain and David Maltoni,  Hand book of Finger Print recognition, New York, Springer-Verlag(2003). 

Ayman Mohammed Bahaa-Eldin, A Medium resolution finger print matching system, Ain Shams Engineering Journals, 4(3), 393-408(2013).

doi:10.1016/j.asej.2012.10.001

Davinder Kaur and Sangram Bana, Finger Print Recognition using Image Segmentation, Int. J. Adv. Engg. Sci. Technol.,  5(1), 12-23(2011).

Gbolagade, K. A. and Yineyeh, M. O., Over view of Biometric Electronic Voting System in Ghana, Int. J. Adv. Res. Comp. Sci. Soft. Engg., 3(7), 624-627(2013).

Larose D.T, Discovering knowledge in Data: An introduction to data mining, ISBN: 0-471-66657-2, John wiley & Sons, Inc, 2005.

Rohan Patel, Vaibhav Ghorpade, Vinay Jain and Mansi Kambli, Fingerprint based e-voting  system using adhar database, Int. J. Res. Eme. Sci. Technol., 2(3),  87-90(2015).

Sergey Tulyakov, Venu Govindaraju and Xi cheng, Minutiae-based matching state model for combinations in finger print matching system, IEEE conference on computer vision and pattern recognition workshops, 92-97(2013).

doi:10.1109/CVPRW.2013.21

Soumyajit Chakraborty,  Siddartha Mukherjee, Bhaswati Sadhukhan and Kazi Tanvi Yasmin,  Biometric Voting system using Aadhar card in India, Int. J. Inn. Res. Comp. Comm. Engg., 4(4), 5284-5291(2016).

doi:10.15680/IJIRCCE.2016. 0404222

Steinbach, Tan pang-Ning, Introduction to Data mining, Pearson Education, New Delhi, ISBN: 978-81-317-1472-0, 2009.

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