The study demonstrates the feasibility of deploying AI-powered facial age estimation as a complementary verification mechanism within electoral systems and provides a context-aware solution for strengthening voter eligibility verification and electoral credibility in emerging democracies.
A systematic framework is proposed, encompassing data acquisition, preprocessing, feature extraction, model training, and decision fusion, supported by mathematical formulations for classification, loss optimization, and evaluation metrics, offering a scalable approach for secure digital identity verification.
Salma El-Sayed· International Journal of App...· 0 citations
The ablation results indicated that learned fusion, metric-learning losses, and liveness detection each contributed to performance, which support the feasibility of the proposed framework under the reported experimental conditions.
Eric Omianwele, Daniel Ekpah· Asian journal of current res...· 0 citations
The findings suggest that the proposed framework provides an efficient, integrated solution for enhancing security in electoral systems and can be extended to other security-critical domains and offers strong potential for real-world biometric authentication applications.
Opeyemi Lateef Usman, Khadijah Opeyemi Owodunni· The Scientific World Journal· 0 citations
EquiAI is proposed, a robust fairness-aware remote identity verification framework that integrates a pretrained Vision Foundation Model (DINOv2), fairness-aware representation learning, adaptive feature alignment, presentation attack detection, and explainable artificial intelligence into a unified architecture.
Suman Kumar Sanjeev Prasanna· Journal of Intelligent Decis...· 0 citations
Identity verification of voters is a very important process in the provision of fair and fraud free elections. In many polling stations, voter identity is still verified manually. Election officers compare the voter's face and ID card with the details available in the voter records before allowing them to vote. Althoug...
Nandana C. K., Sarah Saju Muhammed, Manazhy Reshmi· 2026 International Conferenc...· 0 citations
The study’s objective is to create a facial recognition system that is both lightweight and effective for secure biometric identification using MobileNetV3, and to assess how well it performs in comparison to more conventional, computationally demanding models. Group 2 (Intervention) refers to a MobileNetV3-based face...
S.Hamsanandhini, K.S.Manojee, P.Palanisamy et al.· 2026 4th International Confe...· 0 citations
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