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Fingerprint Matching of Normalized Image based on Euclidean Distance

by Neeraj Bhargava, Anchal Kumawat, Ritu Bhargava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 24
Year of Publication: 2015
Authors: Neeraj Bhargava, Anchal Kumawat, Ritu Bhargava
10.5120/21409-4428

Neeraj Bhargava, Anchal Kumawat, Ritu Bhargava . Fingerprint Matching of Normalized Image based on Euclidean Distance. International Journal of Computer Applications. 120, 24 ( June 2015), 20-23. DOI=10.5120/21409-4428

@article{ 10.5120/21409-4428,
author = { Neeraj Bhargava, Anchal Kumawat, Ritu Bhargava },
title = { Fingerprint Matching of Normalized Image based on Euclidean Distance },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 24 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number24/21409-4428/ },
doi = { 10.5120/21409-4428 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:05.934103+05:30
%A Neeraj Bhargava
%A Anchal Kumawat
%A Ritu Bhargava
%T Fingerprint Matching of Normalized Image based on Euclidean Distance
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 24
%P 20-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Euclidean distance is one of the oldest methods for mapping distance between two points. It is highly demandable for matching process. Recently there are many techniques for matching fingerprints. Using Euclidean distance, minutiae based fingerprint matching gives accurate matching results. Euclidean Distance is a distance matching technique which is broadly perusal in computational geometry, image processing, computer graphics and pattern recognition. According to the Euclidean distance formula, simply in the plane the distance between two points is map, and the resulting distance is match with the resulting distance of reference fingerprint for matching. Normalization is significant enhancement technique that applied to renovate the contrast in an image. In the case of noisy fingerprint images, normalization is quite important technique for better and accurate outcomes. This paper deals with to perform Euclidean distance between minutiae points for provide robustness of our algorithm for matching fingerprints to reference fingerprint. The process of determining Euclidean distance is done by a tool of Image processing i. e. Matlab.

References
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Index Terms

Computer Science
Information Sciences

Keywords

System Design Fingerprint Enhancement Normalization Euclidean distance Whorl Arch Loops.

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