Convolutional Neural Network-based Finger Vein Recognition using Near Infrared Images

被引：0
|
作者：
Fairuz, Subha [1 ]
Habaebi, Mohamed Hadi [1 ]
An, Elsheikh Mohamed Ahmed Elsheikh [1 ]
Chebil, Jalel [2 ]
机构：
[1] IIUM, Fac Engn, Dept ECE, Jalan Gombak, Kuala Lumpur 53100, Malaysia
[2] Univ Sousse, Sousse, Tunisia
来源：
PROCEEDINGS OF THE 2018 7TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING (ICCCE) | 2018年
关键词：
deep learning; convolutional neural network; finger vein recognition; energy security; biometric; NIR;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：453 / 458
页数：6
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