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Novel Hierarchical Structure Based Finger Vein Image Quality Assessment

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Biometric Recognition (CCBR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8232))

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Abstract

Instead of existing image based and geometry based quality estimation method for finger vein image, this paper proposed a novel quality metrics from the hierarchical structure of finger vein. The thick major vessels and short minor vessels construct the hierarchical structure of finger vein, and lead to the hierarchical energy distribution. A Gaussian Energy Model is simulated to assess the hierarchical quality of the major vessel and the minor vessel respectively using Gabor filter. The efficient of matching performance and the accuracy of quality assessment are evaluated in the experimental parts.

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Author information

Authors and Affiliations

  1. Institute of Remote Sensing and Earth Science, Hangzhou Normal University, China

    Shan Juan Xie, Bin Zhou & Yuliang Pan

  2. College of Computer Science & Information Engineering, Tianjin University of Science and Technology, China

    Jucheng Yang

  3. College of Electronic & Information Engineering, Chonbuk National University, South Korea

    Yu Lu

Authors
  1. Shan Juan Xie
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  2. Bin Zhou
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  3. Jucheng Yang
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  4. Yu Lu
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  5. Yuliang Pan
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, 100190, Beijing, P.R. China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, China

    Shiguan Shan

  3. School of Computer Science and Technology, Shandong University, 250101, Jinan, China

    Gongping Yang  & YiLong Yin  & 

  4. Software Engineering Institute, Tsinghua University, 100084, Beijing, China

    Jie Zhou

  5. School of Software, Beihang University, 100083, Beijing, China

    Yunhong Wang

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© 2013 Springer International Publishing Switzerland

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Xie, S.J., Zhou, B., Yang, J., Lu, Y., Pan, Y. (2013). Novel Hierarchical Structure Based Finger Vein Image Quality Assessment. In: Sun, Z., Shan, S., Yang, G., Zhou, J., Wang, Y., Yin, Y. (eds) Biometric Recognition. CCBR 2013. Lecture Notes in Computer Science, vol 8232. Springer, Cham. https://doi.org/10.1007/978-3-319-02961-0_33

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  • DOI: https://doi.org/10.1007/978-3-319-02961-0_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02960-3

  • Online ISBN: 978-3-319-02961-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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