Skip to main content
SpringerLink
Log in
Book cover

Chinese Conference on Biometric Recognition

CCBR 2014: Biometric Recognition pp 234–243Cite as

A Survey of Finger Vein Recognition

  • Conference paper

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

Abstract

As a new biometric technique, finger vein recognition has attracted lots of attentions and efforts from researchers, and achieved some progress in recent years. A survey of progress in finger vein recognition is given in this paper. It mainly focuses on three aspects, i.e., the general introduction of finger vein recognition, a review of the existing research work on image acquisition and feature extraction methods. We finally present the key problems and future directions in order to enlighten finger vein recognition research domain.

This is a preview of subscription content, 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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Miura, N., Nagasaka, A.: Feature extraction of finger-vein pattern based on repeated line tracking and its application to personal identification. Machine Vision and Applications 15(4), 194–203 (2004)

    Article  Google Scholar 

  2. Hashimoto, J.: Finger vein authentication technology and its future. In: Proceedings of the VLSI Symposium on Circuits, Honolulu, HI, pp. 5–8 (2006)

    Google Scholar 

  3. Kono, M., Ueki, H., Umemura, S.: A new method for the identification of individuals by using of vein pattern matching of a finger. In: Proceedings of the 5th Symposium on Pattern Measurement, Yamaguchi, Japan, pp. 9–12 (2000)

    Google Scholar 

  4. Yanagawa, T., Aoki, S., Ohyama, T.: Human finger vein images are diverse and its patterns are useful for personal identification. MHF Preprint Series, Kyushu University, pp. 1–7 (2007)

    Google Scholar 

  5. Miura, N., Nagasaka, A., Miyatake, T.: Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE Transactions on Information and Systems E90-D(8), 1185–1194 (2007)

    Article  Google Scholar 

  6. Kumar, A., Zhou, Y.B.: Human identification using finger images. IEEE Transactions on Image Process 21(4), 2228–2244 (2012)

    Article  MathSciNet  Google Scholar 

  7. Yang, L., Yang, G.P., Yin, Y.L., Xi, X.M.: Exploring soft biometric trait with finger vein recognition. Neurocomputing 135, 218–228 (2014)

    Article  Google Scholar 

  8. Ton, B.T., Raymond, N.V.: A high quality finger vascular pattern dataset collected using a custom designed capturing device. In: Proceedings of International Conference on Biometrics, Madrid, Spain, pp. 1–5 (2013)

    Google Scholar 

  9. Lee, E.C., Jung, H., Kim, D.: New finger biometric method using near infrared imaging. Sensors 11(3), 2319–2333 (2011)

    Article  Google Scholar 

  10. Yang, G.P., Xi, X.M., Yin, Y.L.: Finger vein recognition based on a personalized best bit map. Sensors 12(2), 1738–1757 (2012)

    Article  Google Scholar 

  11. Yin, Y.L., Liu, L.L., Sun, X.W.: SDUMLA-HMT: a multimodal biometric database. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds.) CCBR 2011. LNCS, vol. 7098, pp. 260–268. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  12. Yang, W.M., Huang, X.L., Zhou, F., Liao, Q.M.: Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion. Information Sciences 268(6), 20–32 (2013)

    Google Scholar 

  13. Lu, Y., Xie, S.J., Yoon, S., Wang, Z., Park, D.S.: An Available Database for the Research of Finger Vein Recognition. In: Proceedings of International Congress on Image and Signal Processing, Hangzhou, China, pp. 386–392 (2013)

    Google Scholar 

  14. Song, W., Kim, T., Kim, H.C., Choi, J.H., Kong, H.J., Lee, S.R.: A finger-vein verification system using mean curvature. Pattern Recognition Letter 32(11), 1541–1547 (2011)

    Article  Google Scholar 

  15. Qin, H.F., Yu, C.B., Qin, L.: Region growth–based feature extraction method for finger-vein recognition. Optical Engineering 50(5), 057208–057208 (2011)

    Article  Google Scholar 

  16. Liu, T., Xie, J.B., Yan, W., Li, P.Q., Lu, H.Z.: An algorithm for finger-vein segmentation based on modified repeated line tracking. The Imaging Science Journal 61(6), 491–502 (2013)

    Article  Google Scholar 

  17. Wu, J.D., Liu, C.T.: Finger-vein pattern identification using principal component analysis and the neural network technique. Expert Systems with Applications 38(5), 5423–5427 (2011)

    Article  Google Scholar 

  18. Wu, J.D., Liu, C.T.: Finger-vein pattern identification using SVM and neural network technique. Expert Systems with Applications 38(11), 14284–14289 (2011)

    Google Scholar 

  19. Yang, G.P., Xi, X.M., Yin, Y.L.: Finger vein recognition based on (2D)2PCA and metric learning. Journal of BioMedicine and Biotechnology 2012, 1–9 (2012)

    MATH  Google Scholar 

  20. Liu, Z., Yin, Y.L., Wang, H., Song, S., Li, Q.: Finger vein recognition with manifold learning. Journal of Network and Computer Applications 33(3), 275–282 (2010)

    Article  Google Scholar 

  21. Rosdi, B.A., Shing, C.W., Suandi, S.A.: Finger vein recognition using local line binary pattern. Sensors 11(12), 11357–11371 (2011)

    Article  Google Scholar 

  22. Meng, X.J., Yang, G.P., Yin, Y.L., Xiao, R.Y.: Finger vein recognition based on local directional code. Sensors 12(11), 14937–14952 (2012)

    Article  Google Scholar 

  23. Lee, H.C., Kang, B.J., Lee, E.C., Park, K.R.: Finger vein recognition using weighted local binary pattern code based on a support vector machine. Journal of Zhejiang University Science C 11(7), 514–524 (2010)

    Article  Google Scholar 

  24. Huang, B.N., Liu, S.L., Li, W.X.: A finger posture change correction method for finger-vein recognition. In: Proceedings of Symposium on Computational Intelligence for Security and Defence Applications, Ottawa, Canada, pp. 1–7 (2012)

    Google Scholar 

  25. Lee, E.C., Lee, H.C., Park, K.R.: Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction. International Journal of Imaging Systems and Technology 19(3), 179–186 (2009)

    Article  Google Scholar 

  26. Yang, J.F., Shi, Y.H.: Finger-vein ROI localization and vein ridge enhancement. Pattern Recognition Letters 33(12), 1569–1579 (2012)

    Article  Google Scholar 

  27. Yang, L., Yang, G.P., Yin, Y.L., Xiao, R.Y.: Sliding window-based region of interest extraction for finger vein images. Sensors 13(3), 3799–3815 (2013)

    Article  Google Scholar 

  28. Lu, Y., Xie, S.J., Yoon, S., Yang, J.C., Park, D.S.: Robust finger vein ROI localization based on flexible segmentation. Sensors 13(11), 14339–14366 (2013)

    Article  Google Scholar 

  29. Dai, Y.G., Huang, B.N., Li, W.X., Xu, Z.Q.: A method for capturing the finger-vein image using nonuniform intensity infrared light. In: Proceedings of Congress on Image and Signal Processing, Sanya, China, pp. 501–505 (2008)

    Google Scholar 

  30. Nguyen, D.T., Park, Y.H., Shin, K.Y., Kwon, S.Y., Lee, H.C., Park, K.R.: Fake finger-vein image detection based on fourier and wavelet transforms. Digital Signal Processing 23(5), 1401–1413 (2013)

    Article  MathSciNet  Google Scholar 

  31. Yang, G.P., Xiao, R.Y., Yin, Y.L., Yang, L.: Finger Vein Recognition Based on Personalized Weight Maps. Sensors 13(9), 12093–12112 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Shandong University, Jinan, 250101, P.R. China

    Lu Yang, Gongping Yang, Yilong Yin & Lizhen Zhou

Authors
  1. Lu Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gongping Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yilong Yin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lizhen Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Yang, L., Yang, G., Yin, Y., Zhou, L. (2014). A Survey of Finger Vein Recognition. 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_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12484-1_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12483-4

  • Online ISBN: 978-3-319-12484-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation