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Reseach Article

A Simple and Efficient Roadmap to Process Fingerprint Images in Frequency Domain

by Avenash Kumar, Tahseen A. Jilani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 4
Year of Publication: 2015
Authors: Avenash Kumar, Tahseen A. Jilani
10.5120/19655-1292

Avenash Kumar, Tahseen A. Jilani . A Simple and Efficient Roadmap to Process Fingerprint Images in Frequency Domain. International Journal of Computer Applications. 112, 4 ( February 2015), 19-25. DOI=10.5120/19655-1292

@article{ 10.5120/19655-1292,
author = { Avenash Kumar, Tahseen A. Jilani },
title = { A Simple and Efficient Roadmap to Process Fingerprint Images in Frequency Domain },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 4 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number4/19655-1292/ },
doi = { 10.5120/19655-1292 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:34.097324+05:30
%A Avenash Kumar
%A Tahseen A. Jilani
%T A Simple and Efficient Roadmap to Process Fingerprint Images in Frequency Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 4
%P 19-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the field of computer vision, image enhancement is one of the most important and critical stage, which eventually or indirectly decides the final results in the boolean form, as far as image recognition or comparison is concern, fingerprint recognition system is also the part of computer vision and considered as one of the most matured and accepted biometric system, which implies the matching of fingerprint impression with template data. The normal issue which arise in the making such systems is the noise in input fingerprint image which actually depends upon the devices i. e. used to capture fingerprint image. In this paper we demonstrate the techniques for fingerprint image enhancement in frequency domain, after getting back in spatial (time) domain, we exact the ROI from the output image of frequency domain using least square approximation method and finally we extract minutiae from fingerprint image using cross number (CN) [5] and compare with template data in post-processing stage. The demonstration has been made under the MATLAB's background and the experiments conducted on FVC 2002 fingerprint dataset of University of Bologna [1]

References
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Index Terms

Computer Science
Information Sciences

Keywords

Minutiae extraction Fingerprint recognition Minutiae matching False Minutiae Least square estimation Fourier transformation