DocumentCode :
2943559
Title :
Crime suspect identification system based on footprints
Author :
Adetunmbi, A.O. ; Osisanwo, F.Y.
Author_Institution :
Comput. Sci. Dept., Fed. Univ. of Technol., Akure, Nigeria
fYear :
2013
fDate :
14-16 Nov. 2013
Firstpage :
89
Lastpage :
92
Abstract :
Criminals find it almost impossible to avoid leaving shoeprints behind at a crime scene as they must enter and exit from the scene. Foot- and/or shoe-prints, either trace or impression, are often left at a crime scene irrespective of the kind of flooring the scene is made of. These are as useful as fingerprint and DNA left at crime scene. In recent times, footprints have become good forensic evidence used in crime scene investigations, as features from the sole or from shoeprints can be used to determine certain information about the individual that owns the shoe. Also features from the barefoot gives a unique identity of an individual. Organizations with safe rooms that are meant to have limited or restricted access can control access to these rooms and can identify unauthorized access into the rooms via the shoeprints from the inside attackers. This research proposes an unobtrusive means of acquiring and recording shoeprints of anyone who enters the safe room.
Keywords :
feature extraction; image enhancement; police data processing; DNA; crime scene; crime scene investigations; crime suspect identification system; fingerprint; footprints; forensic evidence; shoeprint acquisition; shoeprint recording; Conferences; Feature extraction; Fingerprint recognition; Foot; Footwear; Forensics; Societies; Forensic; Identification; footprint; safe rooms; unobtrusive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON), 2013 IEEE International Conference on
Conference_Location :
Owerri
Print_ISBN :
978-1-4799-2016-7
Type :
conf
DOI :
10.1109/NIGERCON.2013.6715641
Filename :
6715641
Link To Document :
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