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The CFVD Reflection-Type Finger-Vein Image Database with Evaluation Baseline

  • Conference paper
Biometric Recognition (CCBR 2013)

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

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Abstract

In this paper, we describe the reflection-type finger-vein image database named by CFVD for biometrics research, including its acquisition, contents and evaluation baseline. The main contributions of this work include the following points: providing the worldwide researchers with reflection-type finger-vein recognition uniform database and ground-truth evaluation baseline. Currently, the CFVD database contains 1345 images of 130 fingers from 13 individuals ( 10 males and 3 females ). Based on this database, the researchers can evaluate the performance of their algorithms for reflection-type finger-vein recognition. As the first reflection-type finger-vein image database available in the public domain, we believe that it will promote the development of finger-vein recognition techniques. We are keeping enlarging this database by including the finger-vein data of additional people.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Shandong University, Jinan, 250100, China

    Congcong Zhang, Zhi Liu, Hui Xu & Fangqi Su

  2. The Second Hospital of Shandong University, China

    Xiaomei Li

  3. National Key Laboratory of Fundamental Science on Synthetic Vision, School of Computer Science, Sichuan University, Chengdu, 610065, China

    Qijun Zhao

Authors
  1. Congcong Zhang
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  2. Xiaomei Li
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  3. Zhi Liu
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  4. Qijun Zhao
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  5. Hui Xu
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  6. Fangqi Su
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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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Cite this paper

Zhang, C., Li, X., Liu, Z., Zhao, Q., Xu, H., Su, F. (2013). The CFVD Reflection-Type Finger-Vein Image Database with Evaluation Baseline. 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_35

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  • DOI: https://doi.org/10.1007/978-3-319-02961-0_35

  • 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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