Voter Authentication Using Enhanced ResNet50 for Facial Recognition

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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Bibliographic Details
Main Authors: Aminou Halidou, Daniel Georges Olle Olle, Arnaud Nguembang Fadja, Daramy Vandi Von Kallon, Tchana Ngninkeu Gil Thibault
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Signals
Subjects:
facial recognition
electoral fraud prevention
biometric voting systems
ResNet50
ArcFace loss
MTCNN
Online Access:https://www.mdpi.com/2624-6120/6/2/25
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