Skip to main content
SpringerLink
Log in

Combining Band-Limited OTSDF Filter and Directional Representation for Palmprint Recognition

  • Conference paper
  • First Online:
Biometric Recognition (CCBR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13628))

Included in the following conference series:

Abstract

Correlation filter is one of important and powerful tools in pattern recognition. Recently, the method of band-limited phase-only correlation (BLPOC) has been successfully used for biometrics. Motivated by the method of BLPOC, we propose the band-limited optimal tradeoff synthetic discriminant function (BLOTSDF) filter in this paper. Compared with BLPOC and original OTSDF filter, BLOTSDF filter has faster matching speed and can achieve better recognition performance. We then propose a method combining BLOTSDF filter and directional representation (DR) for palmprint recognition. Since DR is insensitive to illumination changes and contains rich information and the BLOTSDF filter has good recognition ability, the proposed method can achieve promising recognition performance, which is comparable with that of other state-of-the-art methods. Particularly, the matching speed of the proposed method is about 20 times faster than that of several classical directional coding algorithms, which is very suitable for industrial applications. The experiments results obtained on two palmprint databases validate the effectiveness of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fei, L., Lu, G., Jia, W., Teng, S., Zhang, D.: Feature extraction methods for palmprint recognition: a survey and evaluation. IEEE Trans. Syst. Man Cybern. Syst. 49, 346–363 (2018)

    Article  Google Scholar 

  2. Zhong, D., Du, X., Zhong, K.: Decade progress of palmprint recognition: a brief survey. Neurocomputing 328, 16–28 (2019)

    Article  Google Scholar 

  3. Kong, A., Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceedings of the 17th ICPR, pp. 520–523 (2004)

    Google Scholar 

  4. Sun, Z.N., Tan, T.N., Wang, Y.H., Li, S.Z.: Ordinal palmprint representation for personal Identification. In: Proceedings of CVPR, pp. 279–284 (2005)

    Google Scholar 

  5. Jia, W., Huang, D.S., Zhang, D.: Palmprint verification based on robust line orientation code. Pattern Recogn. 41, 1504–1513 (2008)

    Article  MATH  Google Scholar 

  6. Luo, Y.T., et al.: Local line directional pattern for palmprint recognition. Pattern Recogn. 50, 26–44 (2016)

    Article  Google Scholar 

  7. Jia, W., et al.: Palmprint recognition based on complete direction representation. IEEE Trans. Image Process. 26, 4483–4498 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  8. Genovese, A., Piuri, V., Plataniotis, K.N., Scotti, F.: PalmNet: Gabor-PCA convolutional networks for touchless palmprint recognition. IEEE Trans. Inf. Forensics Secur. 14, 3160–3174 (2019)

    Article  Google Scholar 

  9. Miyazawa, K., Ito, K., Aoki, T., Kobayashi, K., Nakajima, H.: An effective approach for iris recognition using phase-based image matching. IEEE Trans. Pattern Anal. Mach. Intell. 30, 1741–1756 (2008)

    Article  Google Scholar 

  10. Kumar, B.V.K.V., Mahalanobis, A., Juday, R.: Correlation Pattern Recognition. Cambridge University Press (2005)

    Google Scholar 

  11. Rodriguez, A., Boddeti, V.N., Kumar, B.V.K.V., Mahalanobis, A.: Maximum margin correlation filter: a new approach for localization and classification. IEEE Trans. Image Process. 22, 631–643 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  12. Hennings-Yeomans, P., Kumar, B., Savvides, M.: Palmprint classification using multiple advanced correlation filters and palm-specific segmentation. IEEE Trans. Inf. Forens. Secur. 2, 613–622 (2007)

    Article  Google Scholar 

  13. ITO, K., Aoki, T., Nakajima, H.: A palmprint recognition algorithm using phase-only correlation. IEICE Trans. Fundament. e91-a, 1023–1030 (2008)

    Google Scholar 

  14. Kumar, B.V.K.V., Carlson, D., Mahalanobis, A.: Optimal tradeoff synthetic discriminant function (OTSDF) filters for arbitrary devices. Opt. Lett. 19, 1556–1558 (1994)

    Article  Google Scholar 

  15. Zhang, D., Guo, Z.H., Lu, G.M., Zhang, L., Zuo, W.M.: An online system of multispectral palmprint verification. IEEE Trans. Instrum. Measure. 59, 480–490 (2010)

    Article  Google Scholar 

Download references

Acknowledgments

This work is partly supported by the grant of the National Science Foundation of China, No. 62076086.

Author information

Authors and Affiliations

  1. School of Computer Scinece and Information Engineering, Hefei University of Technology, Hefei, 230009, China

    Chaoxiang Hou & Wei Jia

Authors
  1. Chaoxiang Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei Jia
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Jia .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Weihong Deng

  2. Tsinghua University, Beijing, China

    Jianjiang Feng

  3. Beihang University, Beijing, China

    Di Huang

  4. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Meina Kan

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  6. Tsinghua University, Beijing, China

    Fang Zheng

  7. China Electronics Standardization Institute, Beijing, China

    Wenfeng Wang

  8. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhaofeng He

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hou, C., Jia, W. (2022). Combining Band-Limited OTSDF Filter and Directional Representation for Palmprint Recognition. In: Deng, W., et al. Biometric Recognition. CCBR 2022. Lecture Notes in Computer Science, vol 13628. Springer, Cham. https://doi.org/10.1007/978-3-031-20233-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-20233-9_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20232-2

  • Online ISBN: 978-3-031-20233-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation