kejihela/INTEGRATION-OF-FACE-VERIFICATION-WITH-SMART-CARD-READER-FOR-ELECTORAL-PROCESS-IN-NIGERIA.

Using some fascinating methods, a research was carried out to improve the performance of the existing face verification algorithms. # INTEGRATION-OF-FACE-VERIFICATION-WITH-SMART-CARD-READER-FOR-ELECTORAL-PROCESS-IN-NIGERIA. Using some fascinating methods, a research was carried out to improve the performance of the existing face verification algorithms. The selection of a good leader plays a major role in the development and sustainability of a country economic growth. The means by which these leaders are selected should be free from various malpractices by enabling a reliable system that ensure accountability and transparent electoral process. The earliest system adopted posed great threat to the security of life and properties of the voters which led to the introduction of the secret ballot system in which accreditation and authentication are done by means of sighting. While this system was considered as a good replacement of the open ballot system yet it gives room for various electoral malpractices. This brought about the introduction of electronic voting by the use of smart card reader for accreditation and authentication, but this system failure to authenticate eligible voters in several cases lead to the proposal for the integration of computer vision technology with the existing system. The underlying demographics of datasets used to train face verification models are frequently insufficient to account for the huge range of facial traits found in people all over the world. To mitigate these limitations, we design a model based on the popular VGG architecture and a dataset rich enough to represent the geographical diversity of people across the world and introduced the just published FaVCI2D dataset for evaluation of the model. which was then deployed for authentication of voters for use in the electoral process using an Android application system. The bulk of reported biases are attributable to the use of demographically unbalanced training data in the creation of face recognition algorithms. We were able to improve performance of face verification model using dataset of suitable techn …