Exploring the Use of Biometric Smart Cards for Voters’ Accreditation: A Case Study of Nigeria Electoral Process

Voting remains an integral component of every democratic electoral process. it is an avenue for citizens to exercise their rights in order to elect those who will lead them in various vacant political offices. However, enhancing voters’ trust and confidence in electoral processes are significant factors that could encourage the active participation of citizens in elections. Eligible voters tend to decline to participate in an election when they have a feeling that their votes may not eventually count. Furthermore, electoral processes that lead to the emergence of candidates must be adjudged to be free, fair and credible to a high degree for the result to be widely acceptable. Unacceptable election results could lead to protests and total cancelation of the election thereby resulting in loss of time and resources invested in it. To ensure that only registered voters cast their votes on election days, measures must be put in place to accredit voters on election days effectively. Therefore, this article explores the use of biometric smart cards for voters’ verification and identification. With the Nigerian electoral process in view, the existing Nigerian voting procedure was reviewed, lapses were identified and solutions based on the use of the biometric smart card were proffered. If adopted, the proposed adoption of biometric smart cards for voters’ accreditation will enhance the country’s electoral process thereby ensuring that only registered voters cast their votes. The approach presented could also reduce the number of electoral processes and personnel required during election days, thus reducing voting time and cost

Implementation of a Framework for Healthy and Diabetic Retinopathy Retinal Image Recognition

The feature extraction stage remains a major component of every biometric recognition system. In most instances, the eventual accuracy of a recognition system is dependent on the features extracted from the biometric trait and the feature extraction technique adopted. The widely adopted technique employs features extracted from healthy retinal images in training retina recognition system. However, literature has shown that certain eye diseases such as diabetic retinopathy (DR), hypertensive retinopathy, glaucoma, and cataract could alter the recognition accuracy of the retina recognition system. This connotes that a robust retina recognition system should be designed to accommodate healthy and diseased retinal images. A framework with two different approaches for retina image recognition is presented in this study. The first approach employed structural features for healthy retinal image recognition while the second employed vascular and lesion-based features for DR retinal image recognition. Any input retinal image was first examined for the presence of DR symptoms before the appropriate feature extraction technique was adopted. Recognition rates of 100% and 97.23% were achieved for the healthy and DR retinal images, respectively, and a false acceptance rate of 0.0444 and a false rejection rate of 0.0133 were also achieved

Enhanced Dataset of Digitized Screen-film Mammograms of African Descent

This dataset presents the enhanced version of digitized Screen-film Mammograms of African Descent. It contains mamographic images of 78 African cancer patient

An Empirical Investigation of the Prevalence of Osteoarthritis in South West Nigeria: A Population-Based Study

Today, Osteoarthritis remains the most prevalent chronic joint disease and a potentially incapacitating joint illness. It is an enduring health problem which cannot be cure though it can be managed. Osteoarthritis remains a serious public health problem because its burden is high, people who live with it have a greater risk of developing anxiety / or depression and if it is not properly managed, it can bring about disability as well as impairing quality of life. This paper presents a statistical correlation between the reported risk factors of Osteoarthritis and its prevalence in Nigeria. Statistical tests were performed to investigate if there is enough evidence for inferring that the risk factors for Osteoarthritis are true for the whole of Nigerian populatio

An Empirical Investigation of the Prevalence of Osteoarthritis in South West Nigeria: A Population-Based Study

Today, Osteoarthritis remains the most prevalent chronic joint disease and a potentially incapacitating joint illness. It is an enduring health problem which cannot be cure though it can be managed. Osteoarthritis remains a serious public health problem because its burden is high, people who live with it have a greater risk of developing anxiety / or depression and if it is not properly managed, it can bring about disability as well as impairing quality of life. This paper presents a statistical correlation between the reported risk factors of Osteoarthritis and its prevalence in Nigeria. Statistical tests were performed to investigate if there is enough evidence for inferring that the risk factors for Osteoarthritis are true for the whole of Nigerian populatio

LF-ViT: Development of a Virtual Reality Guided Tour Mobile App of Landmark University Teaching and Research Farm

In this work, we designed and developed a Virtual Reality guided tour mobile app for Landmark University farms, LF-ViT. We were motivated by the need to circumvent the problem of bio-security caused by incessant visit to the farm by visitors, tourists or customers. The guided tour was implemented using the storytelling technique. Other technical details of the design and implementation process are discusse