Skip to main content

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 243 Accesses

Abstract

This chapter presents fundamental concepts and terminology associated with latent fingerprint processing, with particular reference to overlapped latent fingerprints. It introduces the matching process itself, including classical manual latent fingerprints matching procedures. It also presents the design of a modern automated latent fingerprints matching system and describes its main components and steps.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Notes

  1. 1.

    Manual segmentation is still the norm in the current state of the art. In Chap. 4 we present experimental results for an algorithm capable of performing automatic ROI extraction of component fingerprint regions—background (B), single fingerprint (S), and overlapped fingerprints (O)—from the overlapped fingerprint image.

References

  1. D. Ashbaugh, Quantitative-Qualitative Friction Ridge Analysis: An Introduction to Basic and Advanced Ridgeology (CRC Press, Boca Raton, 1999)

    Book  Google Scholar 

  2. J.G. Daugman, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Am. A 2(7), 1160–1169 (1985)

    Article  Google Scholar 

  3. I.E. Dror, D. Charlton, Why experts make errors. J. Forensic Identif. 56(4), 600 (2006)

    Google Scholar 

  4. I.E. Dror, A.E. Peron, S.-L. Hind, D. Charlton, When emotions get the better of us: the effect of contextual top-down processing on matching fingerprints. Appl. Cogn. Psychol. 19(6), 799–809 (2005)

    Article  Google Scholar 

  5. I.E. Dror, D. Charlton, A.E. Péron, Contextual information renders experts vulnerable to making erroneous identifications. Forensic Sci. Int. 156(1), 74–78 (2006)

    Article  Google Scholar 

  6. I.E. Dror, C. Champod, G. Langenburg, D. Charlton, H. Hunt, R. Rosenthal, Cognitive issues in fingerprint analysis: inter-and intra-expert consistency and the effect of a ‘target’ comparison. Forensic Sci. Int. 208(1), 10–17 (2011)

    Article  Google Scholar 

  7. J. Feng, Y. Shi, J. Zhou, Robust and efficient algorithms for separating latent overlapped fingerprints. IEEE Trans. Inf. Forensics Secur. 7(5), 1498–1510 (2012)

    Article  Google Scholar 

  8. P.A. Fraser-Mackenzie, I.E. Dror, K. Wertheim, Cognitive and contextual influences in determination of latent fingerprint suitability for identification judgments. Sci. Justice 53(2), 144–153 (2013)

    Article  Google Scholar 

  9. M.D. Garris, R.M. McCabe, Fingerprint minutiae from latent and matching tenprint images, in Tenprint Images, (National Institute of Standards and Technology, 2000)

    Google Scholar 

  10. L.J. Hall, E. Player, Will the introduction of an emotional context affect fingerprint analysis and decision-making? Forensic Sci. Int. 181(1), 36–39 (2008)

    Article  Google Scholar 

  11. L. Hong, Y. Wan, A. Jain, Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 777–789 (1998)

    Article  Google Scholar 

  12. G. Langenberg, Precision, reproducibility, repeatability, and biasability of conclusions resulting from the ACE-V process. J. Forensic Identif. 59(2), 219 (2009)

    Google Scholar 

  13. D. Maltoni, D. Maio, A. Jain, S. Prabhakar, Handbook of Fingerprint Recognition (Springer Science and Business Media, London, 2009)

    Book  Google Scholar 

  14. A. Sankaran, M. Vatsa, R. Singh, Latent fingerprint matching: a survey. IEEE Access 2, 982–1004 (2014)

    Article  Google Scholar 

  15. Document #9 Standard for the Documentation of Analysis, Comparison, Evaluation, and Verification (ACE-V) in Tenprint Operations, Ver. 2.0, Scientific Working Group on Friction Ridge Analysis, Study and Technology (SWGFAST), National Institute of Standards and Technology

    Google Scholar 

  16. B. Stojanović, A. Nešković, O. Marques, Fingerprint ROI segmentation using Fourier coefficients and neural networks, in 23rd Telecommunications Forum Telfor (TELFOR), 2015 (IEEE, Piscataway, 2015), pp. 484–487

    Book  Google Scholar 

  17. B. Stojanović, O. Marques, A. Nešković, Latent overlapped fingerprint separation: A review. Multimed. Tools Appl. 76(15), 16263–16290 (2017)

    Article  Google Scholar 

  18. B. Stojanović, A. Nešković, O. Marques, A novel neural network based approach to latent overlapped fingerprints separation. Multimed. Tools Appl. 76(10), 1–25 (2016)

    Google Scholar 

  19. K. Wertheim, G. Langenburg, A. Moenssens, A report of latent print examiner accuracy during comparison training exercises. J. Forensic Identif. 56(1), 55 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Stojanović, B., Marques, O., Nešković, A. (2019). Latent Fingerprint Matching Systems. In: Segmentation and Separation of Overlapped Latent Fingerprints. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-23364-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23364-8_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23363-1

  • Online ISBN: 978-3-030-23364-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics