Skip to main content

Advertisement

Log in

Estimating a child’s age from an image using whole body proportions

  • Original Article
  • Published:
International Journal of Legal Medicine Aims and scope Submit manuscript

Abstract

The use and distribution of child pornography is an increasing problem. Forensic anthropologists are often asked to estimate a child’s age from a photograph. Previous studies have attempted to estimate the age of children from photographs using ratios of the face. Here, we propose to include body measurement ratios into age estimates. A total of 1603 boys and 1833 girls aged 5–16 years were measured over a 10-year period. They are ‘Cape Coloured’ children from South Africa. Their age was regressed on ratios derived from anthropometric measurements of the head as well as the body. Multiple regression equations including four ratios for each sex (head height to shoulder and hip width, knee width, leg length and trunk length) have a standard error of 1.6–1.7 years. The error is of the same order as variation of differences between biological and chronological ages of the children. Thus, the error cannot be minimised any further as it is a direct reflection of a naturally occurring phenomenon.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Ferraro MM, Casey E, McGrath M (2004) Investigating child exploitation and pornography: the internet, the law and forensic science. Academic, New York

    Google Scholar 

  2. Wortley RK, Smallbone S (2006) Child pornography on the internet. US department of justice, Office of community orientated policing services, Washington, DC

    Google Scholar 

  3. Tanner JM (1962) Wachstum und Reifung des Menschen. Georg Thieme Verlag, Stuttgart

    Google Scholar 

  4. Cattaneo C, Ritz-Timme S, Gabriel P, Gibelli D, Giudici E, Poppa P, Nohrden D, Assmann S, Schmitt R, Grandi M (2009) The difficult issue of age assessment on pedo-pornographic material. Forensic Sci Int 183:e21–e24

    Article  PubMed  Google Scholar 

  5. Rosenbloom AL (2013) Inaccuracy of age assessment from images of postpubescent subjects in cases of alleged child pornography. Int J Legal Med 127:467–471

    Article  PubMed  Google Scholar 

  6. Rosenbloom AL (1998) Misuse of Tanner puberty stages to estimate chronologic age. Pediatrics Springfield 102:1494

    Article  CAS  Google Scholar 

  7. Ireland JL, Beaumont J (2015) Admitting scientific expert evidence in the UK: reliability challenges and the need for revised criteria—proposing an Abridged Daubert. J Forensic Pract 17:3–12

    Article  Google Scholar 

  8. Crumbley L, Cheng C (2014) Avoid losing a Daubert challenge: some best practices for expert witnesses, the ATA. J Legal Tax Res 12:41–53

    Article  Google Scholar 

  9. Grivas CR, Komar DA (2008) Kumho, Daubert and the nature of scientific inquiry: implications for forensic anthropology. J Forensic Sci 53:771–766

    Article  PubMed  Google Scholar 

  10. Cummaudo M, Guerzoni M, Gibelli D, Cigada A, Obertova Z, Ratnayake M, Poppa P, Gabriel P, Ritz-Timme S, Cattaneo C (2014) Towards a method for determining age ranges from faces of juveniles. Forensic Sci Int 239:e1–e7

    Article  Google Scholar 

  11. Cattaneo C, Obertova Z, Ratnayake M, Marasciuolo L, Tutkuviene J, Poppa P, Gibelli D, Gabriel P, Ritz-Timme S (2011) Can facial proportions taken from images be of use for aging in cases of suspected child pornography? A pilot study. Int J Legal Med 126:139–144

    Article  PubMed  Google Scholar 

  12. Edmond G, Biber K, Kemp R, Porter G (2009) Law’s looking glass: expert identification evidence derived from photographic and video images. Curr Iss Crim Just 20:337–376

    Google Scholar 

  13. Lucas T, Henneberg M (2015) Comparing the face to the body, which is better for identification? Int J Legal Med 130:533–540

    Article  PubMed  Google Scholar 

  14. Henneberg M, Louw GJ (1990) Height and weight differences among South African schoolchildren born in various months of the year. Am J Hum Biol 2:227–233

    Article  PubMed  Google Scholar 

  15. Henneberg M, Louw GJ (1998) Cross- sectional survey of growth of urban and rural “Cape Coloured” schoolchildren: anthropometry and functional tests. Am J Hum Biol 10:73–85

    Article  CAS  PubMed  Google Scholar 

  16. Sutherland K (2003) From jailbird to jailbait: age of consent laws and the construction of teenage sexualities. Wm & Mary J Women & L 9:313–349

    Google Scholar 

  17. Waites M (1998) Sexual citizens: Legalising the age of consent in Britain. In: Carver T, Mottier V (eds) Politics of sexuality: identity, gender, citizenship. Routledge, London

    Google Scholar 

  18. Scoleri T, Henneberg M (2012) View independent prediction of body dimensions in crowded environments, In: Proceedings of International Conference on Digital Image Computing techniques and Applications, pp.1–8

  19. Bogin B (1988) Patterns of human growth. University Press, Cambridge

    Google Scholar 

  20. Gluckman PD, Hanson MA (2006) Evolution, development and timing of puberty. Trend Endocrin Met 17:7–12

    Article  CAS  Google Scholar 

  21. Henneberg M, Lavelle M (1999) Varying effects of socioeconomic categories on the growth of urban and rural South African ‘Cape Coloured’ boys. Perspect Hum Biol 4:41–49

    Google Scholar 

  22. Lucas T, Henneberg M (2015) Are human faces unique? A metric approach to finding single individuals without duplicates in large samples. Forensic Sci Int 257:514–5e1

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Teghan Lucas.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lucas, T., Henneberg, M. Estimating a child’s age from an image using whole body proportions. Int J Legal Med 131, 1385–1390 (2017). https://doi.org/10.1007/s00414-017-1561-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00414-017-1561-2

Keywords

Navigation