Skip to main content
Springer Nature Link
Log in

Experimental Evaluation of 3D Ultrasound Palmprint Recognition Techniques Based on Curvature Methods and Under Skin Principal Lines

  • Conference paper
  • First Online:
Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 429))

  • 692 Accesses

Abstract

In this work, two procedures to extract 3D Palmprint features from a 3D ultrasound image of the human palm are presented and experimentally evaluated by using a database composed of 172 samples from 71 different users. Appreciable recognition results were found.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Jain, A.K., Ross, A., Prabhakar, S.: An Introduction to Biometric Recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)

    Article  Google Scholar 

  2. Dai, J., Zhou, J.: Multifeature-Based High-Resolution Palmprint Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 945–957 (2011)

    Article  Google Scholar 

  3. Iula, A., Santis, M.D.: Experimental evaluation of an ultrasound technique for the biometric recognition of human hand anatomic elements. Ultrasonics 51(6), 683–688 (2011)

    Article  Google Scholar 

  4. Iula, A., Savoia, A., Caliano, G.: 3D Ultrasound palm vein pattern for biometric recognition. IEEE Int. Utrasonics Symp. 6562283, 2442–2445 (2012)

    Google Scholar 

  5. Lamberti, N., Caliano, G., Iula, A., Savoia, A.: A high frequency cMUT probe for ultrasound imaging of fingerprints. Sensor Actuators A Phys. 172(2), 561–569 (2011)

    Article  Google Scholar 

  6. Iula, A., Savoia, A., Caliano, G.: Capacitive microfabricated ultrasonic transducers for biometric applications. Microelectron. Eng. J. 88(8), 2278–2280 (2011)

    Article  Google Scholar 

  7. Iula, A., Savoia, A., Caliano, G.: An ultrasound technique for 3d palmprint extraction. Sens. Actuators A: Phys. 212, 18–24 (2014)

    Article  Google Scholar 

  8. Iula, A., Hine, G., Ramalli, A., Guidi, F., Boni, E., Savoia, A., Caliano, G.: An enhanced ultrasound technique for 3D palmprint recognition. IEEE Int. Ultrason. Symp., IUS 6724875, 978–981 (2013)

    Google Scholar 

  9. Tortoli, P., Bassi, L., Boni, E., Dallai, A., Guidi, F., Ricci S.: ULA-OP: an advanced open platform for ultrasound research. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 56(10), 2207–2216 (2009)

    Google Scholar 

  10. Iula, A., Nardiello, D.: Three-dimensional ultrasound palmprint recognition using curvature methods. J. Electron. Imaging 25(3), 033009 (2016)

    Article  Google Scholar 

  11. Iula, A., Nardiello, D.: A method for biometric recognition of ultrasound palmprint based on principal lines. Int. J. Future Comput. Commun. 5(1), 13 (2016)

    Article  Google Scholar 

  12. Zhang, D., Lu, G., Li, W., Zhang, L., and Luo, N.: Palmprint Recognition Using 3-D Information. IEEE Trans. Syst. Man Cybern. Part C (Appl Rev.) 39(5), 509–519 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Antonio Iula & Donatella Nardiello

Authors
  1. Antonio Iula
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Donatella Nardiello
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonio Iula .

Editor information

Editors and Affiliations

  1. University of Genova , Genova, Italy

    Alessandro De Gloria

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Iula, A., Nardiello, D. (2018). Experimental Evaluation of 3D Ultrasound Palmprint Recognition Techniques Based on Curvature Methods and Under Skin Principal Lines. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2016. Lecture Notes in Electrical Engineering, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-55071-8_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-55071-8_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55070-1

  • Online ISBN: 978-3-319-55071-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics