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Robust Fingerprint Matching

by Ovais Ismail, Bhawani Singh Shekhwat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 21
Year of Publication: 2010
Authors: Ovais Ismail, Bhawani Singh Shekhwat
10.5120/60-651

Ovais Ismail, Bhawani Singh Shekhwat . Robust Fingerprint Matching. International Journal of Computer Applications. 1, 21 ( February 2010), 40-43. DOI=10.5120/60-651

@article{ 10.5120/60-651,
author = { Ovais Ismail, Bhawani Singh Shekhwat },
title = { Robust Fingerprint Matching },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 21 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 40-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number21/60-651/ },
doi = { 10.5120/60-651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:32.176199+05:30
%A Ovais Ismail
%A Bhawani Singh Shekhwat
%T Robust Fingerprint Matching
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 21
%P 40-43
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pattern recognition aims to classify data (patterns) based on a priori knowledge or on statistical information extracted from the patterns. Under fingerprint recognition we have chosen the Fingerprint Matching as the research work. Most automatic systems for fingerprint comparison are based on minutiae matching. Minutiae are essentially terminations and bifurcations of the ridge lines that constitute a fingerprint pattern. A minutia extraction approach has been presented using the midpoint ridge contours [17]. The technique conferred in this paper is based on the extraction of minutiae from the thinned, binarized and segmented version of a fingerprint image. This paper describes fingerprint matching by using occurrences of minutiae points which enhances the performance of the matching algorithm. The quality of the proposed algorithm is that it can be associated with any algorithm as a part of pattern matching.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Minutiae Extraction Segmentation Contrast Enhancement Midpoint Ridge Contour

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