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LS Footwear Database - Evaluating Automated Footwear Pattern Analysis

  • Maria Pavlou
  • Nigel M. Allinson
Conference paper
  • 2.7k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5769)

Abstract

Footwear marks recovered from crime scenes are an important source of forensic intelligence or evidence - for some crime types, there is a greater probably to recover footwear marks than fingerprint ones. Currently the process of identifying a specific shoe model from the 10,000s of possibilities is a time-consuming task for expert examiners. As with many other crime marks, for example latent fingerprints, there is an increasing need for automation. The emergent research effort in this field has been hampered by the lack of a suitable dataset of footwear impressions. We present, here, a substantial and fully characterized dataset together with a proposed methodology for its use.

Keywords

Face Recognition Crime Scene Pattern Class Forensic Setting Latent Fingerprint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Maria Pavlou
    • 1
  • Nigel M. Allinson
    • 1
  1. 1.University of SheffieldUK

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