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Development of A Fingerprint Biometric Authentication System For Secure Electronic Voting Machines

机译:用于安全电子投票机的指纹生物识别系统的开发

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Democratic government in the world today rely on electronic voting as the foremost means of providing credible, transparent and fair elections for the electorate. There is a need for developed electronic voting systems to be security enhanced to ensure the authenticity of the developed system. Traditional paper balloting systems suffer from vote tampering, multiple voting and illegal voting by unregistered voters. They are also, susceptible to under aged voting due to the difficulty in authenticating the identity of prospective voters. Manual collation and publication of vote results also leads to slow response times and inaccuracies in published results. This research paper proposes a system to combat the current challenges through the development of a fingerprint biometric authentication system for secure electronic voting machines. It uses a fingerprint biometric sensor, integrated via Python to verify users of the system. The inclusion of biometrics improves the security features of the system. The secure voting system is built using PHP and easy to use Graphical User Interface was designed using HTML and CSS. Users are required to interact with the machine via a 7” touchscreen interface. From the results, it shows that the developed machine has a minimum response time of 0.6 seconds for specific operation, an FAR of 2%, FRR of 10% and overall system accuracy of 94%. The developed machine is able to combat the challenges of authentication of users, thereby guaranteeing the transparency, credibility, integrity and vote authenticity of the elections.
机译:今天世界的民主政府依靠电子投票作为为选民提供可信,透明和公平选举的最重要手段。需要开发的电子投票系统是安全增强的,以确保开发系统的真实性。传统纸张投票系统遭受投票篡改,多次投票和未登记的选民的非法投票遭受。由于难以验证潜在选民的身份,它们也易受老化投票的影响。手动整理和投票结果的出版也会导致公布结果中的响应时间和不准确性速度慢。本研究论文提出了一种通过开发用于安全电子投票机的指纹生物认证系统来打击当前挑战的系统。它使用指纹生物识别传感器,集成通过Python来验证系统的用户。包含生物识别性能改善了系统的安全特征。使用PHP构建安全的投票系统,使用HTML和CSS设计易于使用的图形用户界面。用户需要通过7“触摸屏接口与机器进行交互。从结果中,它表明,特定操作的发达机具有0.6秒的最小响应时间,远远为2%,FRR为10%,整体系统精度为94%。开发机器能够打击用户认证的挑战,从而保证选举的透明度,可信度,完整性和投票真实性。

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