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Reseach Article

Using Feature Extraction for Human Footprints Recognition

by Khamael Abbas Al-dulaimi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 3
Year of Publication: 2013
Authors: Khamael Abbas Al-dulaimi
10.5120/10617-5339

Khamael Abbas Al-dulaimi . Using Feature Extraction for Human Footprints Recognition. International Journal of Computer Applications. 64, 3 ( February 2013), 39-44. DOI=10.5120/10617-5339

@article{ 10.5120/10617-5339,
author = { Khamael Abbas Al-dulaimi },
title = { Using Feature Extraction for Human Footprints Recognition },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 3 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number3/10617-5339/ },
doi = { 10.5120/10617-5339 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:29.050582+05:30
%A Khamael Abbas Al-dulaimi
%T Using Feature Extraction for Human Footprints Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 3
%P 39-44
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a robust technique for identifying and recognize human-footprint images is presented. There are many methods for footprint Recognition, but most of them require segmentation or connected component analysis. . The Recognition process utilizes the determinant value that produces the features for the human-footprint. Image's determinants values are computed, by divided image into blocks then deigned Threshold (T) to extract feature. The least square criterion is then utilized to determine the similarity between the existed (in Database file) footprints with a new query footprint's images.

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Index Terms

Computer Science
Information Sciences

Keywords

footprints Determinant value Euclidean Distance extract features