The Implementation of Touchless Fingerprint Accreditation System to Prevent Disenfranchisement in Global Election Using Machine Learning

Asogwa Tochukwu Chijindu


This work presents the implementation of Touchless fingerprint accreditation system to prevent disenfranchisement in global election. The aim of this work is to help accord every eligible citizen of a country the right to vote using the proposed system. The author was inspired as a result of the challenges experienced in the recently concluded Nigerian election, to the fact that most times the fingerprint scanning machine malfunctions. We present a system developed using image acquisition tools, image processing tools, and machine learning techniques respectively. The system was designed and implemented using mathlab programming tool, achieving high accuracy value of 96.6% using the finger print dataset provided by Mathworks and also the local dataset provided by the researcher.

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