Low Level Algorithms in Processing Foot Print Images
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-39 Number-2 |
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| 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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Keywords
low level algorithm, foot print images,
noise removal, segmentation, feature extraction.