Examples of the application of biometrics in forensics


In this presentation we will focus on the design of biometric classifier for forensic applications. Two examples will be addressed: forensic face recognition based on facial features, and face recognition at a distance.

Example 1: How Pattern Recognition Can Support the Forensic Examiner

In this presentation we will show how properly designed classifiers can support the task of a automatic method to compare facial marks and on how the result can be expressed in a likelihood ratio in order to quantify the evidential value. In addition, we will illustrate to what extend forensic facial comparison is different from biometric facial comparison as used in for instance access control.

Example 2: Advances in Face-Recognition at a Distance

We address the challenge of facial recognition for surveillance applications. The typical problem here is the comparison of a high-resolution reference image, for example a mugshot, with a low-resolution trace image taken at some distance, for example found on a surveillance video. I will demonstrate that realistic low-resolution images that are taken at a distance, are not equivalent to low-resolution images obtained by down-sampling higher-resolution images. This implies that in order to improve the recognition performance specific training of classifiers is required, but also that a proper evaluation on realistic low-resolution images is crucial. In the presentation, I will discuss the implications the on design, training and testing of face recognition systems for surveillance applications and propose a mixed-resolution classifier for this purpose. Attention will be paid to the deployment of convolutional neural net based facial recognition systems for mixed-resolutions.

  Date and Time




  • Date: 19 Oct 2018
  • Time: 10:00 AM to 11:00 AM
  • All times are (UTC+02:00) Rome
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  • Roma Tre University, Dept. of Engineering, Section of Applied Electronics
  • via Vito Volterra 62
  • Roma, Lazio
  • Italy 00146
  • Building: B
  • Room Number: Multimedia room

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R.N.J. Veldhuis (Raymond) R.N.J. Veldhuis (Raymond) of University of Twente


Examples of the application of biometrics in forensics


Raymond Veldhuis graduated from The University of Twente, The Netherlands in 1981. From 1982 until 1992 he worked as a researcher at Philips Research Laboratories in Eindhoven in various areas of digital signal processing. In 1988 he received the PhD degree from Nijmegen University on a thesis entitled Adaptive Restoration of Lost Samples in Discrete-Time Signals and Digital Images. From 1992 until 2001 he worked at the IPO (Institute of Perception Research) Eindhoven in the field of speech processing. Raymond Veldhuis is now a full professor in Biometric Pattern recognition at The University of Twente, where  he is leading a research team in this field. The main research topics are face recognition (2D and 3D), fingerprint recognition, vascular pattern recognition, multibiometric fusion, and biometric template protection. The research is both applied and fundamental.



Address:University of Twente Faculty of EEMCS, Zilverling buildingDrienerlolaan 5, Enschede, Netherlands, 7522 NB

Roma Tre, University, Dept. of Engineering, Section of Applied Eletronics