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...

Full description

Bibliographic Details
Main Authors:	Fairuz, Subha, Habaebi, Mohamed Hadi, Elsheikh, Elsheikh Mohamed Ahmed, Chebil, Jalel
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2018
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
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

id	iium-67953
recordtype	eprints
spelling	iium-679532019-08-17T03:38:28Z http://irep.iium.edu.my/67953/ Convolutional neural network-based finger vein recognition using near infrared images Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed Chebil, Jalel TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. IEEE 2018-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67953/7/67953%20%20Convolutional%20Neural%20Network-based.pdf application/pdf en http://irep.iium.edu.my/67953/13/67953%20%20Convolutional%20Neural%20Network-based_Scopus.pdf Fairuz, Subha and Habaebi, Mohamed Hadi and Elsheikh, Elsheikh Mohamed Ahmed and Chebil, Jalel (2018) Convolutional neural network-based finger vein recognition using near infrared images. In: 2018 7th International Conference on Computer Communication Engineering (ICCCE2018), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539342 10.1109/ICCCE.2018.8539342
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed Chebil, Jalel Convolutional neural network-based finger vein recognition using near infrared images
description	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.
format	Conference or Workshop Item
author	Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed Chebil, Jalel
author_facet	Fairuz, Subha Habaebi, Mohamed Hadi Elsheikh, Elsheikh Mohamed Ahmed Chebil, Jalel
author_sort	Fairuz, Subha
title	Convolutional neural network-based finger vein recognition using near infrared images
title_short	Convolutional neural network-based finger vein recognition using near infrared images
title_full	Convolutional neural network-based finger vein recognition using near infrared images
title_fullStr	Convolutional neural network-based finger vein recognition using near infrared images
title_full_unstemmed	Convolutional neural network-based finger vein recognition using near infrared images
title_sort	convolutional neural network-based finger vein recognition using near infrared images
publisher	IEEE
publishDate	2018
url	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
first_indexed	2023-09-18T21:36:28Z
last_indexed	2023-09-18T21:36:28Z
_version_	1777412854363717632

Convolutional neural network-based finger vein recognition using near infrared images

Similar Items