Towards automatic forensic face recognition

Ali, Tauseef and Spreeuwers, Luuk and Veldhuis, Raymond (2011) Towards automatic forensic face recognition. In: International Conference on Informatics Engineering and Information Science, ICIEIS 2011, 14-16 November 2011, Kuala Lumpur, Malaysia.

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Abstract:	In this paper we present a methodology and experimental results for evidence evaluation in the context of forensic face recognition. In forensic applications, the matching score (hereafter referred to as similarity score) from a biometric system must be represented as a Likelihood Ratio (LR). In our experiments we consider the face recognition system as a ‘black box’ and compute LR from similarity scores. The proposed approach is in accordance with the Bayesian framework where the duty of a forensic scientist is to compute LR from biometric evidence which is then incorporated with prior knowledge of the case by the judge or jury. In our experiments we use a total of 2878 images of 100 subjects from two different databases. Our experimental results prove the feasibility of our approach to reach a LR value given an image of a suspect face and questioned face. In addition, we compare the performance of two biometric face recognition systems in forensic casework.
Item Type:	Conference or Workshop Item
Copyright:	© 2011 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Signals and Systems (SAS)
Link to this item:	http://purl.utwente.nl/publications/79191
Official URL:	http://dx.doi.org/10.1007/978-3-642-25453-6_5
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