Title :
Barefoot morphology: A person unique feature for forensic identification
Author :
Osisanwo, F.Y. ; Adetunmbi, A.O. ; Alese, B.K.
Author_Institution :
Comput. Sci. Dept., Babcock Univ., Ilishan-Remo, Nigeria
Abstract :
Divers features of human body are being explored on daily basis for person identification based on their uniqueness to individuals. The use of fingerprint in crime investigation has come to stay, but criminals are getting smarter by protecting their fingerprints from being evidence at a crime scene. Concealing of footprint or shoe print is yet to become popular, some criminals still go bare footed to crime scene. Footprint can be secured and analysed using image processing techniques such as de-noising, image partitioning, pattern matching This research looks at the uniqueness of barefoot morphology, should in any circumstance barefoot prints are found at a scene and are required to suggest a suspect or criminal. Image processing algorithms are employed to analyse barefoot prints in other to establish the unique features on the prints.
Keywords :
biometrics (access control); criminal law; feature extraction; image matching; barefoot morphology; barefoot prints; crime investigation; crime scene; fingerprints; forensic identification; human body features; image partitioning; image processing techniques; pattern matching; person identification; person unique feature; Databases; Educational institutions; Foot; Forensics; Image processing; Morphology; Noise; Image Processing algorithm; barefoot morphology; de-noising; image partitioning; pattern matching;
Conference_Titel :
Internet Technology and Secured Transactions (ICITST), 2014 9th International Conference for
Conference_Location :
London
DOI :
10.1109/ICITST.2014.7038837