A Fuzzy-Based Multi-Modal Architectural Model for Electioneering in Nigeria

Abstract

The 2015 election has been adjured to be the best in the history of elections in Nigeria, thanks to the deployment of information technology by the Independent National Electoral Commission (INEC). In reality, the election was not as flawless as many people believe. There were lots of problems associated with it, particularly in the areas of verification and authentication of eligible voters. This work examines these problems and proposed a fuzzy-based multi-modal architectural model for future elections in contrast to the unimodal model currently in use. The architecture is based on the extraction of the features of fingerprint and iris of the prospective voters as opposed to only fingerprint currently in use. Drawing from the strength of fingerprint and Iris features discussed in the work, a robust architecture supported by the fuzzy-based mathematical model was developed for future elections. Further discussed were the advantages of the proposed architecture over the current INEC method of voter verification and authentication.