Voter Authentication Using Enhanced ResNet50 for Facial Recognition

Electoral fraud, particularly multiple voting, undermines the integrity of democratic processes. To address this challenge, this study introduces an innovative facial recognition system that integrates an enhanced 50-layer Residual Network (ResNet50) architecture with Additive Angular Margin Loss (A...

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Autors principals:	Aminou Halidou, Daniel Georges Olle Olle, Arnaud Nguembang Fadja, Daramy Vandi Von Kallon, Tchana Ngninkeu Gil Thibault
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-05-01
Col·lecció:	Signals
Matèries:	facial recognition electoral fraud prevention biometric voting systems ResNet50 ArcFace loss MTCNN
Accés en línia:	https://www.mdpi.com/2624-6120/6/2/25
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