Skip to main content

Fingerprint Sample Synthesis

  • Reference work entry
Encyclopedia of Biometrics
  • 184 Accesses

Synonyms

Synthetic fingerprint generation; Synthetic fingerprints; Artificial fingerprints

Definition

Fingerprint sample synthesis is the generation of images similar to human fingerprints, through parametric models that simulate the main characteristics of such biometric data and their modes of variation. The image synthesis is typically performed by a computer program that, starting from some input parameters, executes a sequence of algorithmic steps that finally produce a synthetic fingerprint image.

Introduction

With the increasingly adoption of fingerprint recognition systems, driven by their very appealing accuracy/cost tradeoff, methodical and accurate performance evaluations of fingerprint recognition algorithms are needed. Unfortunately, this requires large databases of fingerprints, due to the very small rates of error necessary for the procedure. For instance, according to [1], in order to support a claim of FMR less than 1/10,000 (the requirement for verification...

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 449.00
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

References

  1. UK Biometrics Working Group: Biometric Evaluation Methodology (2002)

    Google Scholar 

  2. Biometric Information Management and Security, American National Standards Institute, X9.84, 2001

    Google Scholar 

  3. Cappelli, R., Maio, D., Maltoni, D., Wayman, J.L., Jain, A.K.: Performance evaluation of fingerprint verification systems. IEEE Trans. Pattern Anal. Mach. Intell. 28(1), 3–18 (2006)

    Article  Google Scholar 

  4. Kücken, M.: Models for fingerprint pattern formation. Forensic Sci. Int. 171(2–3), 85–96 (2007)

    Article  Google Scholar 

  5. Sherstinsky, A., Picard, R.W.: Restoration and enhancement of fingerprint images using M-lattice – a novel non-linear dynamical system. Proceedings of the 12th International Conference on Pattern Recognition, Jerusalem, pp. 195–200 (1994)

    Google Scholar 

  6. Kücken, M., Newell, A.C.: A model for fingerprint formation. Europhys. Lett. 68(1), 141 (2004)

    Article  Google Scholar 

  7. Cummins, H.: Epidermal-ridge configurations in developmental defects, with particular reference to the ontogenetic factors which condition ridge direction. Am. J. Anat. 38, 89–151 (1926)

    Article  Google Scholar 

  8. Bonnevie, K.: Studies on papillary patterns in human fingers. J. Genet. 15, 1–111 (1924)

    Article  Google Scholar 

  9. Kosz, D.: New numerical methods of fingerprint recognition based on mathematical description of arrangement of dermatoglyphics and creation of minutiae. In: Mintie, D. (ed.) Biometrics in Human Service User Group Newsletter, (1999)

    Google Scholar 

  10. Bicz, W.: “The idea of description (reconstruction) of fingerprints with mathematical algorithms and history of the development of this idea at Optel,” (Optel, 2003). http://www.optel.pl/article/english/idea.htm. Accessed 18 Dec 2007

  11. Sherlock, B.G., Monro, D.M.: A model for interpreting fingerprint topology. Pattern Recognit. 26(7), 1047–1055 (1993)

    Article  Google Scholar 

  12. Cappelli, R., Erol, A., Maio, D., Maltoni, D.: Synthetic fingerprint-image generation. Proceedings of the 15th International Conference on Pattern Recognition, vol. 3, pp. 475–478. Barcelona (2000)

    Google Scholar 

  13. Cappelli, R., Maio, D., Maltoni, D.: “Synthetic fingerprint-database generation.” Proceedings of the 16th International Conference on Pattern Recognition, vol.3, pp. 744–747. Québec City (2002)

    Google Scholar 

  14. Cappelli, R.: Synthetic fingerprint generation. In: Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S. (eds.) Handbook of Fingerprint Recognition. Springer, New York (2003)

    Google Scholar 

  15. Cappelli, R., Maio, D., and Maltoni, D.: “Modelling plastic distortion in fingerprint images”. Proceedings of the Second International Conference on Advances in Pattern Recognition (ICAPR2001), Rio de Janeiro, pp. 369–376 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Cappelli, R. (2009). Fingerprint Sample Synthesis. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_3

Download citation

Publish with us

Policies and ethics