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Biometric Technologies for Forensic Science and Policing: State of the Art

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Handbook of Biometrics for Forensic Science

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

In the last decades, biometric technologies have been applied in forensic investigations only to a limited extent of their possibilities. A number of factors have hindered the wider adoption of these technologies to operational scenarios. However, there have been a number of successful applications where biometric technologies were crucial to support investigation and to provide evidence in court. Given the great potential of biometric technologies for objective and quantitative evidence evaluation, it would be desirable to see a wider deployment of these technologies, in a standardized manner, among police forces and forensic institutes. In this chapter, after a review of the actual state of the art in forensic biometric systems, we try to identify some avenues to facilitate the application of advanced biometric technologies in forensic practice. Despite their impressive performance, some recent biometric technologies have never been applied to forensic evaluation. Other technologies will need adaptations to be ready for the forensic field. We postulate that there is a challenge to be faced with more advanced tools and testing on operational data. This will require a joint effort involving stakeholders and scientists from multiple disciplines as well as a greater involvement of forensic institutes and police forensic science departments.

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Acknowledgements

This research is based upon work supported by the European Commission under the project COST IC1106 “Biometrics and Forensics for the Digital Age” and H2020 MSCA RISE 690907 “IDENTITY”.

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  1. School of Criminal Justice, University of Lausanne, Lausanne, Switzerland

    Christophe Champod

  2. PolComIng, Computer Vision Laboratory, University of Sassari, Viale Mancini 5, 07041, Sassari, Italy

    Massimo Tistarelli

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Correspondence to Christophe Champod .

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  1. University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

  2. University of Lausanne, Lausanne, Switzerland

    Christophe Champod

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Champod, C., Tistarelli, M. (2017). Biometric Technologies for Forensic Science and Policing: State of the Art. In: Tistarelli, M., Champod, C. (eds) Handbook of Biometrics for Forensic Science. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-50673-9_1

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