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Fingerprint Combinations for Privacy Protection: A Performance Analysis

by Aafa J S, Soja Salim
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 6
Year of Publication: 2014
Authors: Aafa J S, Soja Salim
10.5120/18077-8055

Aafa J S, Soja Salim . Fingerprint Combinations for Privacy Protection: A Performance Analysis. International Journal of Computer Applications. 103, 6 ( October 2014), 12-17. DOI=10.5120/18077-8055

@article{ 10.5120/18077-8055,
author = { Aafa J S, Soja Salim },
title = { Fingerprint Combinations for Privacy Protection: A Performance Analysis },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 6 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number6/18077-8055/ },
doi = { 10.5120/18077-8055 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:48.300365+05:30
%A Aafa J S
%A Soja Salim
%T Fingerprint Combinations for Privacy Protection: A Performance Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 6
%P 12-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Protecting the privacy of the fingerprint in authentication systems is become a major issue now-a-days because of the widespread use of fingerprint recognition systems. Traditional encryption and transformation techniques are shown to be more vulnerable to attacks. Therefore, fingerprint combination at the image and feature level has been proposed. This paper introduces two approaches for protecting fingerprint privacy by combining two different fingerprints into a new identity. This paper compares two systems that were introduced to protect the privacy of fingerprint. First is a novel system for fingerprint privacy protection by mixing features of two different fingerprints and thus generate a new identity. During enrolment, the system captures left and right thumb impression from a user. The new identity contains minutiae points of right thumb and has an orientation of left thumb impression. Second is a technique that combines minutiae features of two different fingerprints of a user. The minutiae points of each fingerprints is protected in the new identity. In addition minutiae filtering is done in order to remove spurious minutiae for improving the performance of both the systems. Finally the performance of each technique in terms of FRR, ERR and FAR is compared. For evaluating the performance of two techniques, this work uses same algorithms for the pre-processing and post-processing of fingerprint image.

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Index Terms

Computer Science
Information Sciences

Keywords

Privacy Combinatione Fingerprint Protection Minutiae Orientation

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