Convolutional neural network-based finger vein recognition using near infrared images
Convolutional Neural Network (CNN) is opening new horizons in biometrics-based authentication field and finger vein recognition is the prominent one which can provide the best possible security system depending on this aforementioned technology. In this paper, we used 5 convolutional layers and...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/67953/ http://irep.iium.edu.my/67953/ http://irep.iium.edu.my/67953/ http://irep.iium.edu.my/67953/7/67953%20%20Convolutional%20Neural%20Network-based.pdf http://irep.iium.edu.my/67953/13/67953%20%20Convolutional%20Neural%20Network-based_Scopus.pdf |
| Summary: | Convolutional Neural Network (CNN) is opening
new horizons in biometrics-based authentication field and
finger vein recognition is the prominent one which can provide
the best possible security system depending on this
aforementioned technology. In this paper, we used 5
convolutional layers and 4 fully-connected layers where our
developed network has shown the capability to produce the
result with almost 100% accuracy rate which became possible
due to the fact that deep learning, an end-to-end system is used
which performs better in a lot of aspects in comparison to
conventional techniques.Convolutional Neural Network (CNN) is opening
new horizons in biometrics-based authentication field and
finger vein recognition is the prominent one which can provide
the best possible security system depending on this
aforementioned technology. In this paper, we used 5
convolutional layers and 4 fully-connected layers where our
developed network has shown the capability to produce the
result with almost 100% accuracy rate which became possible
due to the fact that deep learning, an end-to-end system is used
which performs better in a lot of aspects in comparison to
conventional techniques. |
|---|