Cryptographic key generation using deep learning with biometric face and finger vein data
This research proposes a novel approach to cryptographic key generation using biometric data from face and finger vein modalities enhanced by deep learning techniques. Using pretrained models FaceNet and VGG19 for feature extraction and employing a Siamese Neural Network (SNN), the study demonstrate...
Saved in:
| Main Authors: | Tsehayu Gizachew Yirga, Hailu Gizachew Yirga, Eshetie Gizachew Addisu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2025.1545946/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of Lattice-Based Cryptographic Key Generation using Genetic Algorithms for Post-Quantum Security
by: Tara Nawzad Ahmad Al Attar, et al.
Published: (2025-04-01) -
VEIN-RING: A Wearable Dorsal Finger Vein Biometric Scanner
by: Teodors Eglitis, et al.
Published: (2024-01-01) -
Application of biometric systems in face identification technologies
by: A. A. Kulikov
Published: (2021-06-01) -
Quantum Key Distribution in Multiple Fiber Networks and Its Application in Urban Communications: A Comprehensive Review
by: German Granados, et al.
Published: (2025-01-01) -
Watermarking public‐key cryptographic functionalities and implementations: The case of encryption and signatures
by: Foteini Baldimtsi, et al.
Published: (2021-05-01)