Skip to main content
SpringerLink
Log in

SFinGe

  • Reference work entry
  • First Online:
Encyclopedia of Biometrics

Synonyms

Synthetic Fingerprint Generator

Definition

SFinGe (Synthetic Fingerprint Generator) is a fingerprint sample synthesis approach developed by the Biometric System Laboratory of the University of Bologna (Italy). It is available as a software program able to generate large databases of images very similar to human’s fingerprints, together with ground-truth data about their characteristics and features. These databases are particularly useful for developing, optimizing, and testing fingerprint recognition systems and are being extensively used by industrial, academic, and government organizations.

Overview and History

SFinGe (the Italian for sphinx, pronunciation sphin-je) is the acronym for Synthetic Fingerprint Generator. SFinGe can be used to easily create large databases of fingerprints, thus allowing recognition algorithms to be simply trained, tested, and optimized. The images generated emulate fingerprints acquired with online sensors, but, with a few changes, the...

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 899.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
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

Institutional subscriptions

References

  1. Biometric System Laboratory (University of Bologna) web site, http://biolab.csr.unibo.it. Accessed Jan 2008

  2. R. Cappelli, Use of synthetic data for evaluating the quality of minutia extraction algorithms, in Proceedings Second NIST Biometric Quality Workshop, Gaithersburg, Nov 2007

    Google Scholar 

  3. R. Cappelli, Synthetic fingerprint generation, in Handbook of Fingerprint Recognition, 2nd edn., ed. by D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar (Springer, New York, 2009)

    Google Scholar 

  4. R. Cappelli, Fast and accurate fingerprint indexing based on ridge orientation and frequency. IEEE Trans. Syst. Man Cybern. B Cybern. 41(6), 1511–1521 (2011)

    Google Scholar 

  5. R. Cappelli, A. Erol, D. Maio, D. Maltoni, Synthetic fingerprint-image generation, in Proceedings 15th International Conference on Pattern Recognition, Barcelona, vol. 3, pp. 475–478, Sept 2000

    Google Scholar 

  6. R. Cappelli, D. Maio, D. Maltoni, Indexing fingerprint databases for efficient 1:N matching, in Proceedings of the Sixth International Conference on Control, Automation, Robotics and Vision (ICARCV2000), Singapore, Dec 2000

    Google Scholar 

  7. R. Cappelli, D. Maio, D. Maltoni, Synthetic fingerprint-database generation, in Proceedings of the 16th International Conference on Pattern Recognition, Québec City, vol. 3, pp. 744–747, Aug 2002

    Google Scholar 

  8. R. Cappelli, D. Maio, D. Maltoni, An improved noise model for the generation of synthetic fingerprints, in Proceedings of the Eighth International Conference on Control, Automation, Robotics and Vision (ICARCV2004), Kunming, Dec 2004

    Google Scholar 

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

    Google Scholar 

  10. ISO/IEC 19794-2, Information technology – Biometric data interchange formats – Part 2: Finger minutiae data, 2011.

    Google Scholar 

  11. D. Maio, D. Maltoni, R. Cappelli, J.L. Wayman, A.K. Jain, FVC2000: fingerprint verification competition. IEEE Trans. Pattern Anal. Mach. Intell. 24(3), 402–412 (2002)

    Google Scholar 

  12. Minutiae Interoperability Exchange Test (MINEX) web site, http://www.nist.gov/itl/iad/ig/minex.cfm. Accessed Apr 2013

  13. Minutiae Template Interoperability Testing (MTIT) Project web site, http://www.mtitproject.com. Accessed Apr 2013

  14. M. Saito, M. Matsumoto, SIMD-oriented fast mersenne twister: a 128-bit pseudorandom number generator, in Monte Carlo and Quasi-Monte Carlo Methods 2006, ed. by A. Keller, S. Heinrich, H. Niederreiter (Springer, Berlin, 2008), pp. 607–622

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering (DISI), University of Bologna, via Sacchi 3, 47023, Cesena (FC), Italy

    Raffaele Cappelli

Authors
  1. Raffaele Cappelli
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media New York

About this entry

Cite this entry

Cappelli, R. (2015). SFinGe. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_8

Download citation

Publish with us

Policies and ethics

Search

Navigation