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...
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iium-679502019-08-17T04:33:02Z http://irep.iium.edu.my/67950/ Finger vein identification based on transfer learning of AlexNet Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2018-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67950/7/67950%20Finger%20Vein%20Identification%20Based%20On%20Transfer.pdf application/pdf en http://irep.iium.edu.my/67950/13/67950%20Finger%20Vein%20Identification%20Based%20On%20Transfer_Scopus.pdf Fairuz, Subha and Habaebi, Mohamed Hadi and Elsheikh, Elsheikh Mohamed Ahmed (2018) Finger vein identification based on transfer learning of AlexNet. In: 2018 7th International Conference on Computer Communication Engineering (ICCCE2018), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539256 10.1109/ICCCE.2018.8539256 |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed Finger vein identification based on transfer learning of AlexNet |
description |
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. |
format |
Conference or Workshop Item |
author |
Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed |
author_facet |
Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed |
author_sort |
Fairuz, Subha |
title |
Finger vein identification based on transfer
learning of AlexNet |
title_short |
Finger vein identification based on transfer
learning of AlexNet |
title_full |
Finger vein identification based on transfer
learning of AlexNet |
title_fullStr |
Finger vein identification based on transfer
learning of AlexNet |
title_full_unstemmed |
Finger vein identification based on transfer
learning of AlexNet |
title_sort |
finger vein identification based on transfer
learning of alexnet |
publisher |
IEEE |
publishDate |
2018 |
url |
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 |
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2023-09-18T21:36:28Z |
last_indexed |
2023-09-18T21:36:28Z |
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1777412853914927104 |