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

页码：453 / 458

页数：6

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