Skip to main content

Biometrics in Forensic Science: Challenges, Lessons and New Technologies

  • Conference paper
  • First Online:
Biometric Authentication (BIOMET 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8897))

Included in the following conference series:

Abstract

Biometrics has historically found its natural mate in Forensics. The first applications found in the literature and over cited so many times, are related to biometric measurements for the identification of multiple offenders from some of their biometric and anthropometric characteristics (tenprint cards) and individualization of offender from traces found on crime-scenes (e.g. fingermarks, earmarks, bitemarks, DNA). From sir Francis Galton, to the introduction of AFIS systems in the scientific laboratories of police departments, Biometrics and Forensics have been "dating" with alternate results and outcomes. As a matter of facts there are many technologies developed under the "Biometrics umbrella" which may be optimised to better impact several Forensic scenarios and criminal investigations. At the same time, there is an almost endless list of open problems and processes in Forensics which may benefit from the introduction of tailored Biometric technologies. Joining the two disciplines, on a proper scientific ground, may only result in the success for both fields, as well as a tangible benefit for the society. A number of Forensic processes may involve Biometric-related technologies, among them: Evidence evaluation, Forensic investigation, Forensic Intelligence, Surveillance, Forensic ID management and Verification.

The COST Action IC1106 funded by the European Commission, is trying to better understand how Biometric and Forensics synergies can be exploited within a pan-European scientific alliance which extends its scope to partners from USA, China and Australia.

Several results have been already accomplished pursuing research in this direction. Notably the studies in 2D and 3D face recognition have been gradually applied to the forensic investigation process. In this paper a few solutions will be presented to match 3D face shapes along with some experimental results.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, 2nd edn. Springer (2009)

    Google Scholar 

  2. Ross, A., Nandakumar, K., Jain, A.K.: Handbook of Multibiometrics. Springer (2006)

    Google Scholar 

  3. Tistarelli, M., Chellappa, R., Li, S.Z.: Handbook of Remote Biometrics. Springer (2009)

    Google Scholar 

  4. Meuwly, D., Veldhuis, R.: Forensic biometrics: From two communities to one discipline. In: Proc. of the International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE (2012)

    Google Scholar 

  5. Cole, S.A.: Forensics without uniqueness, conclusions without individualization: the new epistemology of forensic identification. Law, Probability and Risk 8(3), 233–255 (2009)

    Article  Google Scholar 

  6. The Proposers of the COST Action IC1106. Integrating Biometrics and Forensics for the Digital Age. Memorandum of Understanding of the European Commission (2012)

    Google Scholar 

  7. Neumann, C., Evett, I.W., Skerett, J.: Quantifying the weight of Evidence from a forensic fingerprint comparison, a new paradigm. J. R. Statist. Soc. A 175(2), 1–26 (2012)

    Article  Google Scholar 

  8. Champod, C., Lennard, C., Margot, P., Stoilovic, M.: Fingerprints and other ridge skin impressions. CRC Press (2004)

    Google Scholar 

  9. Tahtouh, M., Kalman, J., Roux, C., Lennard, C., Reedy, B.: The Detection and Enhancement of Latent Fingermarks Using Infrared Chemical Imaging. J. Forensic Sci. 1(1), 1–9 (2005)

    Article  Google Scholar 

  10. Abate, A.F., Nappi, M., Riccio, D., Sabatino, G.: 2D and 3D face recognition: A survey. Pattern Recognition Letters 28, 1885–1906 (2007)

    Article  Google Scholar 

  11. Besl, P., McKay, N.: A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2), 239–256 (1992)

    Article  Google Scholar 

  12. Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Three-dimensional face recognition. Int. Journal of Computer Vision 64(1), 5–30 (2005)

    Article  Google Scholar 

  13. Cadoni, M., Bicego, M., Grosso, E.: 3D Face Recognition Using Joint Differential Invariants. In: Tistarelli, M., Nixon, M.S. (eds.) ICB 2009. LNCS, vol. 5558, pp. 279–288. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  14. Mpiperis, I., Malassiotis, S., Strintzis, M.G.: 3-D face recognition with the geodesic polar representation. IEEE Transactions on Information Forensics and Security, 2(3) (pt. 2), 537–547 (2007)

    Google Scholar 

  15. Al-Osaimi, F.R., Bennamoun, M., Mian, A.: Integration of local and global geometrical cues for 3D face recognition. Pattern Recognition 41(2), 1030–1040 (2008)

    Article  MATH  Google Scholar 

  16. Colombo, A., Cusano, C., Schettini, R.: 3D face detection using curvature analysis. Pattern Recognition 39(3), 444–455 (2006)

    Article  MATH  Google Scholar 

  17. BenAbdelkader, C., Griffin, P.A.: Comparing and combining depth and texture cues for face recognition. Image and Vision Computing 23(3), 339–352 (2005)

    Article  Google Scholar 

  18. Beumier, C., Acheroy, M.: Face verification from 3D and grey level cues. Pattern Recognition Letters 22, 1321–1329 (2001)

    Article  MATH  Google Scholar 

  19. Bowyer, K., Chang, K., Flynn, P.: A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition. Computer Vision and Image Understanding 101, 1–15 (2006)

    Article  Google Scholar 

  20. Lowe, D.: Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision 60(2), 91–110 (2004)

    Article  Google Scholar 

  21. Bicego, M., Lagorio, A., Grosso, E., Tistarelli, M.: On the use of SIFT features for face authentication. In: Proc. of Int Workshop on Biometrics, in Association with CVPR 2006 (2006)

    Google Scholar 

  22. Ramos, D.: Forensic Evaluation of the Evidence Using Automatic Speaker Recognition Systems. EURASIP Library of Phd Theses, Universidad Autonoma de Madrid (November 2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Massimo Tistarelli .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Tistarelli, M., Grosso, E., Meuwly, D. (2014). Biometrics in Forensic Science: Challenges, Lessons and New Technologies. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds) Biometric Authentication. BIOMET 2014. Lecture Notes in Computer Science(), vol 8897. Springer, Cham. https://doi.org/10.1007/978-3-319-13386-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13386-7_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13385-0

  • Online ISBN: 978-3-319-13386-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics