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Analysis of Footprint in a Crime Scene

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Author Affiliations

  • 1Department of Computer Science and Engineering, University of Calcutta, India
  • 2Department of Computer Science and Engineering, University of Calcutta, India
  • 3Department of Computer Science and Engineering, University of Calcutta, India
  • 4Department of Computer Science and Engineering, University of Calcutta, India

Res. J. Forensic Sci., Volume 4, Issue (2), Pages 1-5, February,29 (2016)

Abstract

Violent crime scenes often register incomplete/broken bloodstained footprint impressions. It is often difficult to make predictions from broken footprints obtained from a crime scene. Though it is easy to differentiate a complete footprint from a complete shoeprint, such differentiation does not stand easy when attempt is made to distinguish an incomplete footprint from an incomplete shoeprint owing to large variation in foot size, shoe size and shoe make. Hence, this study is an attempt to develop a computer based methodology that uses MSER features and available contour of prints to differentiate between an incomplete bloody shoe and footprint. When tested on a dataset of 237 prints, a footprint/shoeprint classification accuracy of 81 % was achieved (Sensitivity- 79.6% and Specificity and 76%).

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