Skip to main content

A New Recognition Procedure for Palmprint Features Extraction from Ultrasound Images

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 512))

Abstract

In this work, an improved palmprint recognition system based on 3D ultrasound images is proposed and experimentally validated. The system exploits an ultrasound gel pad as coupling medium, which results much more practical and non-invasive in real applications than water. An ad hoc recognition procedure has been derived; it uses as input a 2D image of the palmprint at a fixed under skin depth and extracts main features exploing the Frost filter and a series of morphological operations. The recognition system has been preliminarily evaluated through verification experiments carried out on an ad hoc established database composed of 75 samples from 17 different volunteers.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   199.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Jain, A., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)

    Article  Google Scholar 

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

    Article  Google Scholar 

  3. Iula, A., Savoia, A., Caliano, G.: 3D ultrasound palm vein pattern for biometric recognition. In: IEEE International Ultrasonics Symposium, IUS (2012)

    Google Scholar 

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

    Article  Google Scholar 

  5. Iula, A., Savoia, A., Caliano, G.: Capacitive micro-fabricated ultrasonic transducers for biometric applications. Microelectron. Eng. 88(8), 2278–2280 (2011)

    Article  Google Scholar 

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

    Article  Google Scholar 

  7. Iula, A., Hine, G., Ramalli, A., Guidi, F., Boni, E., Savoia, A., Caliano, G.: An enhanced ultrasound technique for 3D palmprint recognition. In: IEEE International Ultrasonics Symposium, IUS, pp. 978–981 (2013)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  11. Nardiello, D., Calia, M., Iula, A.: An improved ultrasound system for biometric recognition based on 3D palmprint. In: IEEE International Ultrasonics Symposium, IUS (2016)

    Google Scholar 

Download references

Acknowledgements

The authors thank Carmela Gugliotta for his helpful suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio Iula .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nardiello, D., Iula, A. (2019). A New Recognition Procedure for Palmprint Features Extraction from Ultrasound Images. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2017. Lecture Notes in Electrical Engineering, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-93082-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93082-4_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93081-7

  • Online ISBN: 978-3-319-93082-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics