Advertisement

Palm Vein Extraction and Matching for Personal Authentication

  • Yi-Bo Zhang
  • Qin Li
  • Jane You
  • Prabir Bhattacharya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4781)

Abstract

In this paper, we propose a scheme of personal authentication using palm vein. The infrared palm images which contain the palm vein information are used for our system. Because the vein information represents the liveness of a human, this system can provide personal authentication and liveness detection concurrently. The proposed system include: 1) Infrared palm images capture; 2) Detection of Region of Interest; 3) Palm vein extraction by multiscale filtering; 4) Matching. The experimental results demonstrate that the recognition rate using palm vein is good.

Keywords

Palm vein Personal identification Liveness detection Infrared palm images Multiscale filtering 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lin, C.L., Fan, K.C.: Biometric Verification Using Thermal Images of Palm-Dorsa Vein Patterns. IEEE Transactions on Circuits and Systems for Video Technology 14(2), 199–213 (2004)CrossRefGoogle Scholar
  2. 2.
    Fan, K.C., Lin, C.L: The Using of Thermal Images of Palm-dorsa Vein-patterns for Biometric Verification. In: IEEE ICPR, IEEE Computer Society Press, Los Alamitos (2004)Google Scholar
  3. 3.
    Yan, K.W., Zhang, Z.Y., Zhuang, D.: Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision. In: IEEE ICMA, IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  4. 4.
    Wang, L., Graham, L.: Near- and Far- Infrared Imaging for Vein Pattern Biometrics. In: IEEE ICAVSS, IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  5. 5.
    Toh, K., Eng, A.H.L., Choo, Y.S., Cha, Y.L., Yau, W.Y., Low, K.S.: Identity Verification Through Palm Vein and Crease Texture. In: IEEE ICB, pp. 546–553. IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  6. 6.
    Zhang, D., Kong, W.K., You, J., Wong, M.: Online Palmprint Identification. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(9), 1041–1050 (2003)CrossRefGoogle Scholar
  7. 7.
    Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., Goldbaum, M.: Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. on Medical Imaging 8, 263–269 (1989)CrossRefGoogle Scholar
  8. 8.
    Hoover, A., Kouznetsova, V., Goldbaum, M.: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. on Medical Imaging 19(3), 203–210 (2000)CrossRefGoogle Scholar
  9. 9.
    Bao, P., Zhang, L.: Noise Reduction for Magnetic Resonance Image via Adaptive Multiscale Products Thresholding. IEEE Trans. on Medical Imaging 22, 1089–1099 (2003)CrossRefGoogle Scholar
  10. 10.
    Bao, P., Zhang, L., Wu, X.L.: Canny Edge Detection Enhancement by Scale Multiplication. IEEE Trans. Pattern Analysis and Machine Intelligence 27(9) (2005)Google Scholar
  11. 11.
    Li, Q., You, J., Zhang, L., Zhang, D., Bhattacharya, P.: A New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis. In: IEEE ICPR, IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  12. 12.
    Mallat, S., Zhong, S.: Characterization of signals from multiscale edges. IEEE Trans. Pattern Analysis and Machine Intelligence 14, 710–732 (1992)CrossRefGoogle Scholar
  13. 13.
    Wu, X., Zhang, D., Wang, K.: Palm Line Extraction and Matching for Personal Authentication. IEEE Transactions On Systems, Man, and Cybernetics, Part A 36(5), 978–987 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yi-Bo Zhang
    • 1
  • Qin Li
    • 2
  • Jane You
    • 2
  • Prabir Bhattacharya
    • 1
  1. 1.Institute for Information Systems Engineering, Concordia University, QuebecCanada
  2. 2.Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, KLN, Hong Kong 

Personalised recommendations