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  Published Paper Details:

  Paper Title

FINGERPRINT BASED VOTING MACHINE USING ARDUINO UNO

  Authors

  Amit Jayant Kher,  Asha Sanap

  Keywords

Voter ID, Fingerprint Module, LCD

  Abstract


In this paper, the researcher has made a fingerprint based voting machine using Arduino Uno. Biometric Fingerprint devices are used in Electric Voting Machine for voter verification. This proposed designed fingerprint based voting machine where there is no need for the user to carry his ID which contains his required details. The person at the polling booth only needs to place his/her finger on the device, thus allowing the acquisition of an on-spot fingerprint from the voter which serves as an identification. This fingerprint reader reads the details from the tag. This data is passed onto the controlling unit for verification. The controller fetches the data from the reader and compares this data with already existing data stored during the registration of the voters. If the data matches with the pre-stored information of the registered fingerprint, the person is allowed to caste his vote. If not, a warning message is displayed on LCD and the person is barred from polling his vote. The vote casting mechanism is carried out manually using the push buttons. LCD is used to display the related messages, warnings and ensuring results.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6003

  Paper ID - 220759

  Page Number(s) - a18-a24

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Amit Jayant Kher,  Asha Sanap,   "FINGERPRINT BASED VOTING MACHINE USING ARDUINO UNO", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.a18-a24, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6003.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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