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A Survey of Finger Vein Recognition

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Biometric Recognition (CCBR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8833))

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Abstract

As a new biometric technique, finger vein recognition has attracted lots of attentions and efforts from researchers, and achieved some progress in recent years. A survey of progress in finger vein recognition is given in this paper. It mainly focuses on three aspects, i.e., the general introduction of finger vein recognition, a review of the existing research work on image acquisition and feature extraction methods. We finally present the key problems and future directions in order to enlighten finger vein recognition research domain.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Shandong University, Jinan, 250101, P.R. China

    Lu Yang, Gongping Yang, Yilong Yin & Lizhen Zhou

Authors
  1. Lu Yang
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  2. Gongping Yang
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  3. Yilong Yin
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  4. Lizhen Zhou
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100190, Beijing, China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road, P.O. Box 2704, 100190, HaiDian, Beijing, China

    Shiguang Shan

  3. School of Information Science and Engineering, Shenyang University of Technology, No.111, Shenliao West Road, Economic and Technological Development Zone, 110870, Shenyang, China

    Haifeng Sang  & Weiqi Yuan  & 

  4. Software Engineering Institute, Tsinghua University, No. 1 Tsinghua Yuan, Haidian District, 100084, Beijing, China

    Jie Zhou

  5. School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, 100191, Beijing, China

    Yunhong Wang

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Yang, L., Yang, G., Yin, Y., Zhou, L. (2014). A Survey of Finger Vein Recognition. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-12484-1_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12483-4

  • Online ISBN: 978-3-319-12484-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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