Secured Voting System with Multimodal Biometric Technique using ANN

 
 
 
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    Free and fair elections play a major role to explicate a democratic government, but all too frequently, the actual mechanics of election has always been taken for granted in our country, the largest democracy in the world. The issue of security is very prominent in any system such as the current electoral voting system. There is no proper record of people who have already casted their vote. The voter Id card does not have any record of biometrics of the voter, so we cannot guarantee genuine voting hence creating chances of bogus voting. Therefore, we intend to aid in security of voting system by bringing advanced technologies of neural networks with multimodal biometrics (face recognition, fingerprint scan, retina scan etc). As these biometrics of a person is already recorded in their Aadhar card, so it can be used as database. At the time of voting, biometric information of a voter will be gathered and will be matched to the database obtained by Aadhar card so that the person can be identified correctly. The proposed new voting system with multimodal biometrics can help any democratic government in conducting smooth election by removing all the ambiguities and security issues of current scenario. ‘

     


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      [1] NighatAyub, Masood Ahmad World Academy of Science, Engineering and Technology “Usability and biometric authentication of electronic voting system” In International Journal of Computer and Systems Engineering

      [2] Dr. S. Karthikeyan, J. Nithya “Secured Electronic Voting Machine Using Biometric” in International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT | Volume 2 | Issue 2 | ISSN:2456-3307586

      [3] Madhuri Mahajan, Yogeshwari Pawar, Madhuri Wagh, Prof.PuspenduBiswas, Sagar Alai, Prof. Shital More“M-Vote (Online Voting System)” inVolume 2, Issue 10, October 2017 ISSN(online): 2456-0006 International Journal of Science Technology Management and Research.

      [4] S. Karthikeyan, J. Nithya "Biometric Secured Electronic Voting Machine with Embedded Security" in International Journal of Scientific Research in Science and Technology (IJSRST) | Volume 3 | Issue 1 | Print ISSN: 2395-6011 | Online ISSN: 2395-602X

      [5] P.Santhosh Selvam, S.Surya Prakash L.Balaji “Advanced E-Voting System Using Finger Vein Sensor” in Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 3, Pages 304-306, April 2017

      [6] Biometrics (Identity Verification in a Networked World), Authors: Samir Nanavati,MichaelThieme, Raj Nanavati Wiley India Pvt. Ltd.


 

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Article ID: 27964
 
DOI: 10.14419/ijet.v7i4.19.27964




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