Automatic classification and recognition of shoeprints

• Published in: 7th International Conference on Image Processing and its Applications pp. 638 - 641
• Main Authors: Alexander, A, Bouridane, A, Crookes, D
• Format: Conference Proceeding
• Language: English
• Published: London IEE 1999
• Subjects: Applied sciences; Computer vision and image processing techniques; Exact sciences and technology; Image processing; Image recognition; Information, signal and communications theory; Signal processing; Telecommunications and information theory; automatic classification; police; image classification; crime scene; fully automatic system; criminals; fractal pattern matching techniques; recognition; shoeprints; image matching; collected impressions; fractals; Automatic classification; Fractal; Image processing; Decomposition method; Database; Robustness; C++ language; Automatic recognition; Mean square error
• ISBN: 0852967179; 9780852967171
• ISSN: 0537-9989
• DOI: 10.1049/cp:19990401

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. We are currently working on a fully automatic system utilising novel fractal pattern matching techniques which allow the investigating officer(s) to match collected impressions against a database of known shoeprint patterns. There is currently no other shoeprint impression database available that offers this facility.