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Reseach Article

Singularity Points Detection in Fingerprint Images

by Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 5
Year of Publication: 2012
Authors: Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta
10.5120/6777-9072

Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta . Singularity Points Detection in Fingerprint Images. International Journal of Computer Applications. 45, 5 ( May 2012), 30-36. DOI=10.5120/6777-9072

@article{ 10.5120/6777-9072,
author = { Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta },
title = { Singularity Points Detection in Fingerprint Images },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number5/6777-9072/ },
doi = { 10.5120/6777-9072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:48.946438+05:30
%A Jitendra P. Chaudhari
%A Pradeep M. Patil
%A Y.p.kosta
%T Singularity Points Detection in Fingerprint Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 5
%P 30-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An efficient algorithm for singular points (core and delta) detection in fingerprint images is proposed. The algorithm is based on an efficient maximum variation in local orientation field calculation method. The method was tested with FVC-2000 fingerprint database and the results were compared visually to the results obtained by human experts. The algorithm is capable of detecting singular points with precision and less computational time. The proposed algorithm outperforms existing algorithms in detection accuracy and calculation speed

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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Orientation Field Singularity Points.