Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Footwear Recognition

  • Maria Pavlou
  • Nigel M. Allinson
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_42

Synonyms

Definition

Footwear recognition is the process of acquiring, identifying, and verifying the marks of the outsole (underside) patterns of a shoe. These marks arise as a result of the normal use of footwear in many conditions and environments. Footwear recognition can be used by the police and other law enforcement agencies in the identification of crime suspects.

Introduction

Although footwear recognition in a strict sense is not a biometric, it does provide a very useful source of intelligence and potential evidence in the application of forensics for policing and security. As shoes are fairly personal items of apparel with usually an extended period of ownership by their wearer, they could be termed a “near-biometric.” Similar to latent fingerprints,  footwear marks are very frequently left behind on surfaces at crime scenes [1]; and they can be more commonly recovered than fingerprints for some crime categories. A number of...

This is a preview of subscription content, log in to check access.

References

  1. 1.
    Bodziak, W.J., ed.: Footwear Impression Evidence. CRC Press, Boca Raton (2000)Google Scholar
  2. 2.
    Parliament: Serious Organised Crime and Police Act 2005, Elizabeth II. The Stationery Office (2005)Google Scholar
  3. 3.
    Hilderbrand, D.S., ed.: Footwear, The Missed Evidence. Staggs Publishing (1999)Google Scholar
  4. 4.
    Mikkonen, S., Astikainen, T.: Databased classification system for shoe sole patterns-identification of partial footwear impression found at a scene of crime. J. Forensic Sci. 39, 1227–1236 (1994)Google Scholar
  5. 5.
    Geradts, Z., Keijzer, J.: The image-database rebezo for shoeprints with developments on automatic classification of shoe outsole designs. Forensic Sci. Int. 82, 21–31 (1996)CrossRefGoogle Scholar
  6. 6.
    Bouridane, A., Alexander, A., Nibouche, M., Crookes, D.: Application of fractals to the detection and classification of shoeprints. In: Proceedings International Conference on Image Processing. Volume 1. pp. 474–477 (2000)Google Scholar
  7. 7.
    Alexander, A., Bouridane, A., Crookes, D.: Automatic classification and recognition of shoeprints. In: Proceedings Seventh International Conference on (Conf Image Processing and Its Applications Publ. No. 465). Volume 2. 638–641 (1999)Google Scholar
  8. 8.
    de Chazal, P., de Chazal, P., Flynn, J., Reilly, R.: Automated processing of shoeprint images based on the fourier transform for use in forensic science. Trans. Pattern Anal. Mach. Intell. 27, pp. 341–350 (2005)CrossRefGoogle Scholar
  9. 9.
    Su, H., Crookes, D., Bouridane, A., Gueham, M.: Local image features for shoeprint image retrieval. In: British Machine Vision Conference 2007. (2007)Google Scholar
  10. 10.
    Zhang, L., Allinson, N.: Automatic shoeprint retrieval system for use in forensic investigations. In: 5th Annual UK Workshop on Computational Intelligence (2005)Google Scholar
  11. 11.
    Everingham, M., Zisserman, A., Williams, C.K.I., Van Gool, L.: The PASCAL Visual Object Classes Challenge 2006 (VOC2006) Results (2006)Google Scholar
  12. 12.
    Pavlou, M., Allinson, N.: Automatic extraction and classification of footwear patterns. In: Intelligent Data Engineering and Automated Learning, IDEAL 2006. pp. 721–728 (2006)Google Scholar
  13. 13.
    Su, H., Crookes, D., Bouridane, A.: Thresholding of noisy shoeprint images based on pixel context. Pattern Recognit. Lett. 28, 301–307 (2007)CrossRefGoogle Scholar
  14. 14.
    Su, H., Bouridane, A., Crookes, D.: Image quality measures for hierarchical decomposition of a shoeprint image. Forensic Sci. Int. 163, 125–131 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

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