Footwear print retrieval system for real crime scene marks

Yi Tang, Sargur N. Srihari, Harish Kasiviswanathan, Jason J. Corso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Footwear impression evidence has been gaining increasing importance in forensic investigation. The most challenging task for a forensic examiner is to work with highly degraded footwear marks and match them to the most similar footwear print available in the database. Retrieval process from a large database can be made significantly faster if the database footwear prints are clustered beforehand. In this paper we propose a footwear print retrieval system which uses the fundamental shapes in shoes like lines, circles and ellipses as features and retrieves the most similar print from a clustered database. Prints in the database are clustered based on outsole patterns. Each footwear print pattern is characterized by the combination of shape features and represented by an Attributed Relational Graph. Similarity between prints is computed using Footwear Print Distance. The proposed system is invariant to distortions like scale, rotation, translation and works well with the partial prints, color prints and crime scene marks.

Original languageEnglish
Title of host publicationComputational Forensics - 4th International Workshop, IWCF 2010, Revised Selected Papers
Pages88-100
Number of pages13
DOIs
StatePublished - 2011
Event4th International Workshop on Computational Forensics, IWCF 2010 - Tokyo, Japan
Duration: 11 Nov 201012 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Computational Forensics, IWCF 2010
Country/TerritoryJapan
CityTokyo
Period11/11/1012/11/10

Keywords

  • ARG
  • Content-based Image Retrieval
  • Footwear Impression Evidence
  • Footwear Print Distance
  • Hough transform

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