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dc.contributor.advisorRahman, Dr. Md. Khalilur
dc.contributor.authorAnis, Arafa Mohd.
dc.contributor.authorRahman, Hamidur
dc.contributor.authorAlam, Jennifer Sherry
dc.contributor.authorNabil, Sohel Islam
dc.contributor.authorHasan, Syed Mahmud
dc.date.accessioned2015-01-31T09:40:33Z
dc.date.available2015-01-31T09:40:33Z
dc.date.copyright2014
dc.date.issued12/28/2014
dc.identifier.otherID 10201010
dc.identifier.otherID 11121106
dc.identifier.otherID 11321039
dc.identifier.otherID 11121108
dc.identifier.otherID 11101029
dc.identifier.urihttp://hdl.handle.net/10361/3967
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 42 - 43).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.en_US
dc.description.abstractThe basis of this project is to create an electronic voting machine that will help to eradicate defrauding of the manual voting systems and prior versions of electronic voting. The thesis looks into and proposes a system that includes multiple layers of verifications to ensure the reliability of the device. With the inclusion of Near Field Communication ID cards and biometric fingerprint sensor, each voter is entered into the system through a swift process only after being recognized and checked with the given database of enlisted voters. Once the corresponding fingerprint is matched with the information provided by the identification card, the voter will be allowed to proceed to choosing their preferred candidate from the panel of buttons. Respective cards and fingerprints are marked for future references. The final vote is then printed out onto a ballot for the satisfaction of voters. The proposed project displays transparency and also carries the feature of being autonomous during the course of operation.en_US
dc.description.statementofresponsibilityArafa Mohd. Anis
dc.description.statementofresponsibilityHamidur Rahman
dc.description.statementofresponsibilityJennifer Sherry Alam
dc.description.statementofresponsibilitySohel Islam Nabil
dc.description.statementofresponsibilitySyed Mahmud Hasan
dc.format.extent49 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectEVMen_US
dc.subjectNFCen_US
dc.subjectFingerprinten_US
dc.subjectPOS printeren_US
dc.subjectArduinoen_US
dc.subjectRaspberry Pien_US
dc.titleDevelopment of electronic voting machine with the inclusion of near field communication ID cards, biometric fingerprint sensor and POS printeren_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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