Analysis of selected methods of person identification based on biometric data
The article explores the challenge of identifying individuals using biometric data through advanced deep learning methods. The research employs three ground-breaking convolutional neural network architectures: ResNet50, EfficientNetB0, and VGG16. The project's objective was to examine the infl...
Saved in:
| Main Authors: | Marcin Rudzki, Paweł Powroźnik |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Lublin University of Technology
2025-06-01
|
| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/7156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK
by: LAWRENCE OMOTOSHO, et al.
Published: (2021-10-01) -
Multistage Convolutional Neural Network With Deformable Attention for Word-Level Offline Text-Independent Writer Identification
by: Manabu Okawa
Published: (2025-01-01) -
Toward Personal Identification Using Multi-Angle-Captured Ear Images: A Feasibility Study
by: Ryuhi Fukuda, et al.
Published: (2025-03-01) -
U-net-based approaches for biometric identification and recognition in cattle
by: Pınar CİHAN, et al.
Published: (2025-05-01) -
Pose Invariant Palm Vein Identification System using Convolutional Neural Network
by: Baghdad Science Journal
Published: (2018-12-01)