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Could earprint identification be computerised? An illustrated proof of concept paper

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Abstract

To date, the ear remains an under-utilised part of the human body for use in forensic practice. Although the ear has been used since the nineteenth century as part of the process of human identification, in this particular function its use, to date, remains low and in the case of earprints, controversial. A limited number of publications exist related to methods used for the purpose of ear image identification and the growing field of ear biometrics but to date, a computerised system for earprint identification does not exist. This paper illustrates the concept of a computerised earprint identification system. To assist those considering similar developments we share the concept problems and possible solutions we have identified and encountered to date, and highlight the advantages for such a system over traditional manual methods used for earprint identification.

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References

  1. Swift B, Rutty GN (2003) The human ear: its role in forensic practice. J Forensic Sci 48:153–160

    Google Scholar 

  2. Rutty GN (2001) The use of temperatures recorded from the external auditory canal in the estimation of the time since death. MD Thesis, University of Sheffield

  3. Iannarelli AV (1989) Ear identification. Forensic identification series. Paramount Publishing Company, Fremont, CA

    Google Scholar 

  4. Champod C, Evett IW, Kuchler B (2001) Earmarks as evidence: a critical review. J Forensic Sci 46:1275–1284

    Google Scholar 

  5. Meijerman L, Sholl S, De Conti F, Giacon M, van der Lugt C, Drusini A, Vanezis P, Maat G (2004) Exploratory study on classification and individualisation of earprints. Forensic Sci Int 140:91–99

    Article  Google Scholar 

  6. Van der Lugt C (2001) Earprint Identification. Elsevier Bedrijfsinformatiem, Gravenhage

    Google Scholar 

  7. Smith DR, Limbird KG, Hoffman JM (2002) Identification of human skeletal remains by comparison of bony details of the cranium using computerised tomographic (CT) scans. J Forensic Sci 47:937–939

    Google Scholar 

  8. Iannarelli AV (1989) Ear identification. Forensic identification series. Paramount Publishing Company, Fremont, CA

    Google Scholar 

  9. Burge M, Burger W (1998) Ear biometrics. In: Jain A, Bolle R, Pankanti S (eds) Biometrics: personal identification in a networked society. Kluwer Academic, Boston, MA, pp 273–286

    Google Scholar 

  10. Burge M, Burger W (1997) Ear biometrics for machine vision. In: Proceedings of the 21st workshop of the Austrian association for pattern recognition, Austrian Computer Society, Wien, Austria, pp 275–282

  11. Abbas A (2003) The role of the human ear in the process of forensic identification. BMedSci Thesis, University of Leicester

  12. Abbas A, Rutty GN (2003) The possible role of ear piercings in forensic identification. J Pathol 201(Suppl):44A

    Google Scholar 

  13. Rutty GN, Abbas A (2004) A computerised system of human ear image and print identification. In: Proceedings of the American Academy of Forensic Sciences, Dallas, February. Abstract B171

  14. Abbas A, Rutty GN (2003) Forensic web watch. J Clin Forensic Med 10:129–131

    Article  Google Scholar 

  15. Alexander M, Laubach LL (1968) Anthropometry of the human ear. US Air Force Aerospace Medical Research, Ohio

    Google Scholar 

  16. Hurley D, Nixon MS, Carter JN (2000a) Automatic ear recognition by force field transformations. In: Proceedings IEE Colloquium: Visual biometrics (00/018), pp 7/1–7/5

  17. Chang K, Bowyer KW, Sarkar S, Victor B (2003) Comparison and combination of ear and face images in appearance-based biometrics. IEEE Trans Pattern Anal Mach Intell 25(9):1160–1165

    Article  Google Scholar 

  18. Farkas LG (1974) Growth of normal and reconstructed auricles. In: Tanzer RC (ed) Symposium on reconstruction of the auricle; proceedings of the symposium of the ear. Mosby, London, pp 24–32

    Google Scholar 

  19. Farkas LG, Posnick JC, Hreczko TM (1992). Anthropometric growth study of the ear. Cleft Palate-Craniofac J 29:324–329

    Article  Google Scholar 

  20. Maat GJR (1999) Ear print project—brief report on the pilot study period September–November 1999, Barge’s Anthropologica, Leiden University Medical Centre. Unpublished

  21. Patent WO 97/28513. D Crossing. Imprint Identification System.

  22. Victor B, Bowyer K, Sarkar S (2002) An evaluation of face and ear biometrics. IEEE Proc Int Conf Pattern Recognition 1:429–432

    Google Scholar 

  23. Kennedy RB (1996) Preliminary study on the uniqueness of barefoot impressions. Can Soc Forensic Sci 29(4):233–238

    Google Scholar 

  24. Kennedy RB (1996) Uniqueness of bare feet and its use as a means of identification. Forensic Sci Int 82:81–87

    Article  Google Scholar 

  25. Brown T, Rutty GN (2005) Forensic podiatry. In: Payne-James J, Byard R, Corey T, Henderson C (eds) Encyclopaedia of forensic and legal medicine. Elsevier Science, London, in press

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Acknowledgements

We wish to thank the Jean Shanks Foundation for their support in relation to this study as well as all those who volunteered to take part in this study. We also wish to thank K9 Crime Scene Investigation Ltd, UK for allowing us to use their computer software to investigate on the concept of computerisation of earprint identification. We continue to work with K9 Crime Scene Investigation Ltd, UK to research the concept of computerised earprint identification

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Correspondence to G. N. Rutty.

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GN Rutty and Ali Abbas declare that they have no competing financial interests. D Crossling is the owner of Patent WO 97/28513 (D Crossing. Imprint Identification System) and a member of the development team for the Treadmark Analytical System

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Rutty, G.N., Abbas, A. & Crossling, D. Could earprint identification be computerised? An illustrated proof of concept paper. Int J Legal Med 119, 335–343 (2005). https://doi.org/10.1007/s00414-005-0527-y

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  • DOI: https://doi.org/10.1007/s00414-005-0527-y

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