Advertisement

Optimal Parameter Selection for 3D Palmprint Acquisition System

  • Xu Liang
  • Gang Wu
  • Yan He
  • Nan Luo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10996)

Abstract

3D palmprint recognition system have been widely studied in recent years. More and more 3D palmprint feature extraction and matching methods are proposed. However, most of the existing image acquisition systems are based on commercial equipment which has high cost, big equipment volume, over-high precision and long 3D data generation time. What’s more, those systems are not designed specialized for palmprint. Most of their parameters are not suitable for 3D palmprint acquisition. Those shortcomings have seriously hindered the applications of 3D palmprint identification. In this paper, we developed a new scheme to tune the initial system parameters to balance the tradeoff of device cost, volume, and data generation time. The samples collected by our proposed device have proved its effectiveness and advantages. The system is easy to implement and will promote the application of 3D palmprint.

Keywords

3D palmprint measurement Phase-shifting error Structured-light imaging 

References

  1. 1.
    Kanhangad, V., Kumar, A., Zhang, D.: Contactless and pose invariant biometric identification using hand surface. IEEE Trans. Image Process. 20(5), 1415–1424 (2011)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Kanhangad, V., Kumar, A., Zhang, D.: A unified framework for contactless hand verification. IEEE Trans. Inf. Forensics Secur. 6(3), 1014–1027 (2011)CrossRefGoogle Scholar
  3. 3.
    Li, W., Zhang, D., Lu, G., Luo, N.: A novel 3-D palmprint acquisition system. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 42(2), 443–452 (2012)CrossRefGoogle Scholar
  4. 4.
    Zhang, D., Lu, G., Li, W., Zhang, L., Luo, N.: Palmprint recognition using 3-D information. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 39(5), 505–519 (2009)CrossRefGoogle Scholar
  5. 5.
    Zhang, L., Shen, Y., Li, H., Lu, J.: 3D palmprint identification using block-wise features and collaborative representation. IEEE Trans. Pattern Anal. Mach. Intell. 37(8), 1730–1736 (2015)CrossRefGoogle Scholar
  6. 6.
    Li, W., Zhang, L., Zhang, D., Lu, G., Yan, J.: Efficient joint 2D and 3D palmprint matching with alignment refinement. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Presented at the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 795–801 (2010)Google Scholar
  7. 7.
    Aggithaya, V.K., Zhang, D., Luo, N.: A multimodal biometric authentication system based on 2D and 3D palmprint features. In: Proceedings of the SPIE 6944, Biometric Technology for Human Identification V. Presented at the Biometric Technology for Human Identification V, International Society for Optics and Photonics, p. 69440C (2008)Google Scholar
  8. 8.
    Zhang, D., Lu, G.: 3D Palmprint classification by global features. In: 3D Biometrics, pp. 135–152. Springer, New York (2013).  https://doi.org/10.1007/978-1-4614-7400-5_8
  9. 9.
    Bingöl, Ö., Ekinci, M.: Stereo-based palmprint recognition in various 3D postures. Expert Syst. Appl. 78(15), 74–88 (2017)CrossRefGoogle Scholar
  10. 10.
    Bingöl, Ö., Ekinci, M.: 3D palmprint pose estimation using stereo camera. In: 2013 21st Signal Processing and Communications Applications Conference (SIU). Presented at the 2013 21st Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (2013)Google Scholar
  11. 11.
    Srinivasan, V., Liu, H.C., Halioua, M.: Automated phase-measuring profilometry of 3-D diffuse objects. Appl. Opt. 23(18), 3105 (1984)CrossRefGoogle Scholar
  12. 12.
    Berryman, F., Pynsent, P., Cubillo, J.: A theoretical comparison of three fringe analysis methods for determining the three-dimensional shape of an object in the presence of noise. Opt. Lasers Eng. 39(1), 35–50 (2003)CrossRefGoogle Scholar
  13. 13.
    Tribolet, J.: A new phase unwrapping algorithm. IEEE Trans. Acoust. Speech Sig. Process. 25(2), 170–177 (1997)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Harbin Institute of Technology (Shenzhen)ShenzhenChina
  2. 2.The Institute of Automation, Heilongjiang Academy of SciencesHarbinChina
  3. 3.Shenzhen Institue of the Hong Kong Polytechnic UniversityShenzhenChina

Personalised recommendations