• DocumentCode
    1741557
  • Title

    Application of fractals to the detection and classification of shoeprints

  • Author

    Bouridane, A. ; Alexander, A. ; Nibouche, M. ; Crookes, D.

  • Author_Institution
    Sch. of Comput. Sci., Queen´´s Univ., Belfast, UK
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    474
  • Abstract
    The most common clues left at a crime scene when a crime is committed are shoeprint impressions. These impressions are useful in the detection of criminals and the linking of crime scenes. A novel technique for use in the detection and classification of shoeprint impressions has been developed. The technique is based on fractal based feature extraction and pattern matching methods. The computerized system developed has been extensively tested on a large database of real shoeprint impressions and is robust to small variations of image orientations and/or translations
  • Keywords
    feature extraction; fractals; image matching; classification; crime scene; criminals; detection; fractal based feature extraction; image orientation; pattern matching; shoe impressions; shoeprint impressions; translations; Application software; Computer science; Feature extraction; Footwear; Fractals; Image databases; Joining processes; Layout; Pattern matching; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.900998
  • Filename
    900998
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1741557