Newborn and infant discrimination: revisiting footprints

Kotzerke, J, Davis, S, Hayes, R and Horadam, K 2019, 'Newborn and infant discrimination: revisiting footprints', Australian Journal of Forensic Sciences, vol. 51, no. 1, pp. 95-108.

Document type: Journal Article
Collection: Journal Articles

Title Newborn and infant discrimination: revisiting footprints
Author(s) Kotzerke, J
Davis, S
Hayes, R
Horadam, K
Year 2019
Journal name Australian Journal of Forensic Sciences
Volume number 51
Issue number 1
Start page 95
End page 108
Total pages 14
Publisher Taylor and Francis
Abstract Formal registration of newborns and infants is a necessity to secure their rights for health care or education and to support law enforcement agencies in the fight against the trafficking of children or their illegal adoption. Ideally, all these requirements can be met using a newborn and infant biometric. Difficulties arise due to the small size and fragility of the infants' physical structures and the effects of rapid physical growth. We review the literature for suitable biometrics and investigate the footprint; asking (a) if there is a time frame shortly after birth when the friction ridge skin pattern of a newborn can be reliably captured; and (b) if the footprint crease pattern is a suitable newborn and infant biometric. For (a), we were unable to confirm the existence of such a time frame. For (b), we performed automatic verification experiments on a small test set of 20 pairs of crease patterns, and then a larger test set, achieving EERs of 22.22% and 46.39%, respectively. The comparison of two dizygotic twins did not show any noteworthy performance difference. Based on these results we do not recommend the foot crease pattern as a newborn or infant biometric for automatic verification.
Subject Computer Vision
Community Child Health
Keyword(s) Case study
crease pattern
literature review
newborn and infant biometric
DOI - identifier 10.1080/00450618.2017.1324582
Copyright notice © 2017 Australian Academy of Forensic Sciences
ISSN 0045-0618
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