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Enhancing Biometric Security with Bimodal Deep Learning and Feature-level Fusion of Facial and Voice Data

Recent research in biometric technologies underscores the benefits of multimodal systems that use multiple traits to enhance security by complicating the replication of samples from genuine users. To address this, we present a bimodal deep learning network (BDLN or BNet) that integrates facial and...

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Autores principales: Khaled Merit, Mohammed Beladgham
Formato: Artigo
Lenguaje:Inglês
Publicado: National Institute of Telecommunications 2024-10-01
Colección:Journal of Telecommunications and Information Technology
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Acceso en línea:https://jtit.pl/jtit/article/view/1754
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