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Chinese Conference on Biometric Recognition

CCBR 2014: Biometric Recognition pp 311–318Cite as

A Fast Robustness Palmprint Recognition Algorithm

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

Abstract

We propose a novel fast robustness palmprint recognition algorithm based on the Curvelet transform and local histogram of oriented gradient (CLHOG) for the poor curve and direction description in the traditional wavelet transform. Curvelet transform is firstly used to obtain four images with the different scales. Then, an algorithm based Local Histogram of Oriented Gradient (LHOG) is designed to extract the robust features from those different scale images. Finally, a Chi-square distance is introduced to measure the similarity in the palmprint features. The experimental results obtained through using the proposed method on both PolyU and CASIA palmprint databases are robust and superior in comparison to some high-performance algorithms.

This work was supported in part by the Natural Science Foundation of China under Grant No. 61170106 and A Project of Shandong Province Higher Educational Science and Technology Program No.J14LN39.

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References

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Author information

Authors and Affiliations

  1. College of Information Engineering, Qingdao University, Qingdao, China

    Danfeng Hong, Zhenkuan Pan, Weibo Wei & Yaoyao Niu

  2. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

    Xin Wu

  3. School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Jian Su

Authors
  1. Danfeng Hong
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  2. Xin Wu
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  3. Zhenkuan Pan
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  4. Jian Su
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  5. Weibo Wei
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  6. Yaoyao Niu
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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

Hong, D., Wu, X., Pan, Z., Su, J., Wei, W., Niu, Y. (2014). A Fast Robustness Palmprint Recognition Algorithm. 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_35

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  • DOI: https://doi.org/10.1007/978-3-319-12484-1_35

  • 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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