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Automatic Face Recognition and Identification Tools in the Forensic Science Domain

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Digital Communication. Towards a Smart and Secure Future Internet (TIWDC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 766))

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Abstract

This paper describes an experimental work executed by Carabinieri Forensic Investigation Department (Italy) to explore the performance of the automatic face recognition systems in forensic domain. The main goal of the research is to survey the recognition ability and identification performance of these tools. The experiments are carried out using three commercial automatic facial recognition platforms. In our work we compare the difference between the forensic experts’ way of manual facial comparison with the machine outcome in two different scenarios; the first is a training and certification environment, a facial image comparisons proficiency test to verify the recognition capabilities. The second is a daily forensic caseworks scenario, formed by 130 real cases successfully investigated by forensic experts, to analyze the identification achievement.

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References

  1. Patil, C.S., Patil, A.J.: A review paper on facial detection technique using pixel and color segmentation. Int. J. Comput. Appl. 62(1) (2013)

    Google Scholar 

  2. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: a literature survey. ACM Comput. Surv. 35(4), 399–458 (2003)

    Article  Google Scholar 

  3. Senior, A.W., Bolle, R.M.: Face recognition and its application. In: Zhang, D. (ed.) Biometric Solutions. The Springer International Series in Engineering and Computer Science, vol. 697, pp. 83–97. Springer, Boston (2002). 10.1007/978-1-4615-1053-6_4

  4. Aitken, C.G.G., Taroni, F.: Statistics and Evaluation of Evidence for Forensic Scientists, 2nd edn. Wiley, New York (2004). ISBN: 978-0-470-84367-3

    Book  MATH  Google Scholar 

  5. Tauseef, A., Raymond, V., Luuk, S.: Forensic face recognition: a survey. In: Face Recognition: Methods, Applications and Technology. Computer Science, Technology and Applications, vol. 9. Nova Publishers (2012). ISBN 978-1-61942-663-4

    Google Scholar 

  6. Peacock, C., Goode, A., Brett, A.: Automatic forensic face recognition from digital images. Sci. Justice 44(1), 29–34 (2004)

    Article  Google Scholar 

  7. Image Metrics Optasia™. www.image-metrics.com

  8. Freund, Y., Schapire, R.: A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55, 119–139 (1997). Article No. SS971504

    Article  MathSciNet  MATH  Google Scholar 

  9. http://www.cognitec.com/facevacs-dbscan.html

  10. Ali, T., Spreeuwers, L., Veldhuis, R.: Towards automatic forensic face recognition. In: Abd Manaf, A., Zeki, A., Zamani, M., Chuprat, S., El-Qawasmeh, E. (eds.) ICIEIS 2011. CCIS, vol. 252, pp. 47–55. Springer, Heidelberg (2011). doi:10.1007/978-3-642-25453-6_5. ISSN 1865-0929

    Chapter  Google Scholar 

  11. http://forensicscience.eu/fic-test/

  12. http://www.polfed-fedpol.be/org/org_dgj_en.php

  13. http://skl.polisen.se/

  14. http://www.enfsi.eu/about-enfsi/structure/working-groups/digital-imaging

  15. Association of Forensic Science Providers. Standards for the formulation of evaluative forensic science expert opinion. Sci. Justice. 49(3), 161–164 (2009)

    Google Scholar 

  16. Evett, I.: Toward a uniform framework for reporting opinions in forensic science casework. Sci. Justice 38(3), 198–202 (1998)

    Article  Google Scholar 

  17. Fredrik, E., Peter, B.: Results and presentation of the ENFSI-DIWG 2013 facial image comparisons proficiency test. SKL Intern rapport. Dokument-och informationsteknikenheten 2014:08. http://media.forensicscience.eu/2014/05/FIC-test-20131.pdf

  18. Ling, H., Soatto, S., Ramanathan, N., Jacobs, D.W.: A study of face recognition as people age. In: IEEE 11th International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, 14-21 October 2007, pp. 1–8 (2007)

    Google Scholar 

  19. Norell, K., et al.: The effect of image quality and forensic expertise in facial image comparisons. J. Forensic Sci. 60(2), 331–340 (2015). doi:10.1111/1556-4029.12660

    Article  Google Scholar 

  20. ENFSI Guideline for evaluative reporting in forensic science. European Network of Forensic Science Institutes, 8 March 2015 (2015)

    Google Scholar 

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Acknowledgements

We would like to express our gratitude towards Salima SBIA, Fredrik Eklöf and Peter Bergström for having set-up, created and organized the ENFSI-DIWG 2013 Facial Image Comparison Proficiency Test. We also want to thank all ENFSI Digital Imaging Working Group and those who have contributed in our experiment.

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Authors and Affiliations

  1. Raggruppamento Carabinieri Investigazioni Scientifiche, RIS di Messina, S.S.114 Km 6,400, 98128, Messina, Italy

    Angelo Salici & Claudio Ciampini

Authors
  1. Angelo Salici
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  2. Claudio Ciampini
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Corresponding author

Correspondence to Angelo Salici .

Editor information

Editors and Affiliations

  1. University of Florence, Florence, Italy

    Alessandro Piva

  2. University of Palermo, Palermo, Italy

    Ilenia Tinnirello

  3. University of Florence, Florence, Italy

    Simone Morosi

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Salici, A., Ciampini, C. (2017). Automatic Face Recognition and Identification Tools in the Forensic Science Domain. In: Piva, A., Tinnirello, I., Morosi, S. (eds) Digital Communication. Towards a Smart and Secure Future Internet. TIWDC 2017. Communications in Computer and Information Science, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-319-67639-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-67639-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67638-8

  • Online ISBN: 978-3-319-67639-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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