DocumentCode
3342185
Title
A shoeprint image coding and retrieval system
Author
Phillips, M.
Author_Institution
Envisage Syst. Ltd., UK
fYear
1995
fDate
16-18 May 1995
Firstpage
267
Lastpage
271
Abstract
Footwear marks frequently provide good evidence in certain types of crime. This is particularly true now that sports shoes of all kinds are in popular use. Such footwear is characterised by a huge variety of designs which are often complex in appearance. Microcomputers are now sufficiently powerful to handle large quantities of data including detailed images. This has been accompanied by the availability of user friendly programs running in graphical environments. We have capitalised on these developments and developed SICAR, a system to capture, store, code and retrieve shoeprint images. SICAR stands for Shoeprint Image Coding and Retrieval; it consists of a microcomputer, an image scanning device and storage capability for thousands of images. The computer is TSM compatible and the software runs within Microsoft´s Windows. Each system can operate independently or be networked to other SICAR instruments. It combines the ability of humans to carry out complex pattern recognition tasks with the power of computers to manage large databases. We have no knowledge of any system that approaches the capabilities of SICAR, although a computer based scheme for the coding and storage of shoe sole patterns has been described by W. Ashley (1990)
Keywords
factographic databases; image coding; image recognition; police data processing; Microsoft Windows; SICAR; TSM compatible; complex pattern recognition tasks; computer based scheme; crime; evidence; footwear marks; graphical environments; image scanning device; large databases; microcomputer; retrieval system; shoe sole patterns; shoeprint image coding; sports shoes; storage capability; user friendly programs;
fLanguage
English
Publisher
iet
Conference_Titel
Security and Detection, 1995., European Convention on
Conference_Location
Brighton
Print_ISBN
0-85296-640-7
Type
conf
DOI
10.1049/cp:19950510
Filename
491769
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