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A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm 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

As one of new-emerging biometrics techniques, palm vein recognition has received wide attentions recently. In recent years, local descriptor, direction coding and correlation filters-based methods are popular for palmprint, palm vein, and finger vein recognition. In this paper, we make a performance evaluation for palm vein recognition using these methods. The experimental results show that the methods based on direction information can achieve better recognition performance.

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Acknowledgement

This work is partly supported by the grants of the National Science Foundation of China, Nos. 61175022, 61573151, 61305006, 61305093, 61402018, 61370167, 61472115, and science and technology project of Anhui Province under Grant No.1401b042009.

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Authors and Affiliations

  1. Institution of Industry and Equipment Technology, Hefei University of Technology, Hefei, China

    Jingting Lu & Hui Ye

  2. School of Computer and Information, Hefei University of Technology, Hefei, China

    Jingting Lu, Hui Ye, Wei Jia, Yang Zhao & Hai Min

  3. School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

    Wenxiong Kang

  4. Faculty of Science and Technology, University of Macau, Macau, China

    Wei Jia & Bob Zhang

Authors
  1. Jingting Lu
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  2. Hui Ye
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  3. Wei Jia
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  4. Yang Zhao
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  5. Hai Min
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  6. Wenxiong Kang
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  7. Bob Zhang
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Corresponding author

Correspondence to Wei Jia .

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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Lu, J. et al. (2016). A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm 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_31

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  • DOI: https://doi.org/10.1007/978-3-319-46654-5_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46653-8

  • Online ISBN: 978-3-319-46654-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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