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Comparative Study of Deep Learning Methods on Dorsal Hand Vein Recognition

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Biometric Recognition (CCBR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9967))

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Abstract

In recent years, deep learning techniques have facilitated the results of many image classification and retrieval tasks. This paper investigates deep learning based methods on dorsal hand vein recognition and makes a comparative study of popular Convolutional Neural Network (CNN) architectures (i.e., AlexNet, VGG Net and GoogLeNet) for such an issue. To the best of our knowledge, it is the first attempt that applies deep models to dorsal hand vein recognition. The evaluation is conducted on the NCUT database, and state-of-the-art accuracies are reached. Meanwhile, the experimental results also demonstrate the advantage of deep features to the shallow ones to discriminate dorsal hand venous network and confirm the necessity of the fine-tuning phase.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 61540048; the Beijing Municipal Natural Science Foundation under Grant 4142032; the Research Program of State Key Laboratory of Software Development Environment (SKLSDE-2015ZX-30); and the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. State Key Laboratory of Software Development Environment, Beihang University, Beijing, 100191, China

    Xiaoxia Li & Di Huang

  2. IRIP Lab, Beihang University, Beijing, 100191, China

    Yunhong Wang

  3. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Xiaoxia Li, Di Huang & Yunhong Wang

Authors
  1. Xiaoxia Li
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  2. Di Huang
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  3. Yunhong Wang
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Corresponding author

Correspondence to Di Huang .

Editor information

Editors and Affiliations

  1. Sichuan University , Chengdu, China

    Zhisheng You

  2. Tsinghua University , Beijing, China

    Jie Zhou

  3. Beihang University , Beijing, China

    Yunhong Wang

  4. Chinese Academy of Sciences , Beijing, China

    Zhenan Sun

  5. Chinese Academy of Sciences , Beijing, China

    Shiguang Shan

  6. Sun Yat-sen University , Guangzhou, China

    Weishi Zheng

  7. Tsinghua University , Beijing, China

    Jianjiang Feng

  8. Sichuan University , Chengdu, China

    Qijun Zhao

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Li, X., Huang, D., Wang, Y. (2016). Comparative Study of Deep Learning Methods on Dorsal Hand Vein Recognition. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_33

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  • DOI: https://doi.org/10.1007/978-3-319-46654-5_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46653-8

  • Online ISBN: 978-3-319-46654-5

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