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An Efficient Fingerprint Matching System for Low Quality Images

by Zin Mar Win, Myint Myint Sein
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 4
Year of Publication: 2011
Authors: Zin Mar Win, Myint Myint Sein
10.5120/3094-4246

Zin Mar Win, Myint Myint Sein . An Efficient Fingerprint Matching System for Low Quality Images. International Journal of Computer Applications. 26, 4 ( July 2011), 5-12. DOI=10.5120/3094-4246

@article{ 10.5120/3094-4246,
author = { Zin Mar Win, Myint Myint Sein },
title = { An Efficient Fingerprint Matching System for Low Quality Images },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 4 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 5-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number4/3094-4246/ },
doi = { 10.5120/3094-4246 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:55.405128+05:30
%A Zin Mar Win
%A Myint Myint Sein
%T An Efficient Fingerprint Matching System for Low Quality Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 4
%P 5-12
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fingerprint-based identification is one of the most well-known and publicized biometrics for personal identification. It remains a reliable, efficient and commonly accepted biometric. In this paper, a fingerprint recognition system for identifying the low quality fingerprint images on Myanmar National Registration Cards (NRCs) is developed. Traditional minutia based approach is not robust to poor quality fingerprint images. In proposed system, ridge feature-based approach for fingerprint recognition using contextual filter and single pass thinning algorithm is developed. The input image is preprocessed and gabor filtering is applied for ridge line enhancement. The system extracts the ridge line features from the skeleton image derived from single pass thinning algorithm and it is compared to the database using Euclidean distance metric. The effectiveness of the proposed system can be confirmed through the experimental results.

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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Fingerprint Recognition Gabor filter Single Pass thinning Histogram matching

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