Low Level Algorithms in Processing Foot Print Images

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-39 Number-2
Year of Publication : 2016
Authors : Osisanwo F.Y, Adetunmbi A.O
DOI :  10.14445/22312803/IJCTT-V39P112


Osisanwo F.Y, Adetunmbi A.O "Low Level Algorithms in Processing Foot Print Images". International Journal of Computer Trends and Technology (IJCTT) V39(2):66-71, September 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In person identification possibly at crime scene investigation, accident victims identification or any form of biometric verification or authentication that involves the use of foot print, divers foot prints images are acquired, stored and scrutinized by extracting features that can identify persons base on their uniqueness. Various modus operandi are needed to achieve this desire, starting from noise removal to segmentation then extraction of important features, different algorithms are involved at each of this stage. This research looks at using low level algorithms for processing foot print images for the purpose of person identification.

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low level algorithm, foot print images, noise removal, segmentation, feature extraction.