Towards the automation of forensic facial individualisation : Comparing forensic to non forensic eyebrow features
Chris Zeinstra, Raymond N. J. Veldhuis, Luuk Spreeuwers · University of Twente Research Information · 2014
The Facial Identification Scientific Working Group (FISWG) publishes recommendations regarding one-to-one facial comparisons. At this moment a draft version of a facial image comparison feature list for morphological analysis has been published. This feature list is based on casework experience by forensic facial examiners. This paper investigates whether the performance of the FISWG eyebrow feature set can be considered as being "state-of-the-art". We compare the recognition performance of one particular state-of-the-art non forensic eyebrow feature set to a semi-automated version of the forensic FISWG eyebrow feature set. The recognition performance is measured in terms of the forensic relevant log-likelihood-ratio cost metric $C_{llr}$. It is shown the FISWG feature set can be considered as being "state-of-the-art" and there actually exists a collection of feature sets that have similar performance.