Finger vein identification based on transfer learning of AlexNet
Nowadays finger vein-based validation systems are getting extra attraction among other authentication systems due to high security in terms of ensuring data confidentiality. This system works by recognizing patterns from finger vein images and these images are captured using a camera based on n...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2018
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/67950/ http://irep.iium.edu.my/67950/ http://irep.iium.edu.my/67950/ http://irep.iium.edu.my/67950/7/67950%20Finger%20Vein%20Identification%20Based%20On%20Transfer.pdf http://irep.iium.edu.my/67950/13/67950%20Finger%20Vein%20Identification%20Based%20On%20Transfer_Scopus.pdf |
| Summary: | Nowadays finger vein-based validation systems
are getting extra attraction among other authentication
systems due to high security in terms of ensuring data
confidentiality. This system works by recognizing patterns
from finger vein images and these images are captured using a
camera based on near-infrared technology. In this research, we
focused finger vein identification system by using our own
finger vein dataset, we trained it with transfer learning of
AlexNet model and verified by test images. We have done three
different experiments with the same dataset but different sizes
of data. Therefore, we obtained varied predictability with 95%
accuracy from the second experiment. |
|---|