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
相关论文
共 50 条
  • [41] Target Recognition Based on Convolutional Neural Network
    Wang Liqiang
    Wang Xin
    Xi Fubiao
    Dong Jian
    LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, 2017, 10605
  • [42] A Convolutional Neural Network-Based Quantization Method for Block Compressed Sensing of Images
    Gong, Jiulu
    Chen, Qunlin
    Zhu, Wei
    Wang, Zepeng
    ENTROPY, 2024, 26 (06)
  • [43] Convolutional Neural Network Based Deep Feature Learning for Finger-vein Identification
    Singh, Manjit
    Singla, Sunil Kumar
    PROCEEDINGS OF 2019 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND ELECTRICAL ENGINEERING TECHNOLOGY (EEET 2019), 2019, : 104 - 107
  • [44] Gender Recognition from Facial Images using Convolutional Neural Network
    Mittal, Shubham
    Mittal, Shiva
    2019 FIFTH INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP 2019), 2019, : 347 - 352
  • [45] Simultaneous denoising and spatial resolution enhancement using convolutional neural network-based linear model in diagnostic CT images
    Yim, Dobin
    Kim, Burnyoung
    Lee, Seungwan
    MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
  • [46] Integrated Learning System for Object Recognition from images based on Convolutional Neural Network
    Jeong, Hyeok-june
    Lee, Myung-jae
    Ha, Young-guk
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & COMPUTATIONAL INTELLIGENCE (CSCI), 2016, : 824 - 828
  • [47] Convolutional Neural Network-Based Video Super-Resolution for Action Recognition
    Zhang, Haochen
    Liu, Dong
    Xiong, Zhiwei
    PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018), 2018, : 746 - 750
  • [48] Face Recognition Based on Convolutional Neural Network
    Coskun, Musab
    Ucar, Aysegul
    Yildirim, Ozal
    Demir, Yakup
    2017 INTERNATIONAL CONFERENCE ON MODERN ELECTRICAL AND ENERGY SYSTEMS (MEES), 2017, : 376 - 379
  • [49] Advancing Handwritten Musical Notation Recognition Using Deep Learning: A Convolutional Neural Network-Based Approach with Improved Accuracy
    Kheng, Ee Hern
    Liew, Chia Pao
    Lan, Tianhao
    Tan, Kim Geok
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2024, 38 (03)
  • [50] Convolutional Neural Network-Based Human Movement Recognition Algorithm in Sports Analysis
    Liu, Jiatian
    FRONTIERS IN PSYCHOLOGY, 2021, 12
12345