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Article:An efficient ANN Based approach for Latent Fingerprint Matching

by Jugal Kishor Gupta, Rajendra Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 10
Year of Publication: 2010
Authors: Jugal Kishor Gupta, Rajendra Kumar
10.5120/1285-1706

Jugal Kishor Gupta, Rajendra Kumar . Article:An efficient ANN Based approach for Latent Fingerprint Matching. International Journal of Computer Applications. 7, 10 ( October 2010), 18-21. DOI=10.5120/1285-1706

@article{ 10.5120/1285-1706,
author = { Jugal Kishor Gupta, Rajendra Kumar },
title = { Article:An efficient ANN Based approach for Latent Fingerprint Matching },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 7 },
number = { 10 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number10/1285-1706/ },
doi = { 10.5120/1285-1706 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:20.085732+05:30
%A Jugal Kishor Gupta
%A Rajendra Kumar
%T Article:An efficient ANN Based approach for Latent Fingerprint Matching
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 10
%P 18-21
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fingerprint matching is the process used to determine whether two sets of fingerprint ridge detail come from the same finger. There exist multiple algorithms that do fingerprint matching in many different ways. Some methods involve matching minutiae points between the two images, while others look for similarities in the bigger structure of the fingerprint. A major approach for fingerprint recognition today is to extract minutiae from fingerprint images and to perform fingerprint matching based on the number of corresponding minutiae pairings. One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by fingertip surface condition, which may vary depending on environmental or personal causes. In this paper we propose a method for offline fingerprint matching based on minutiae matching. However, unlike conventional minutiae matching algorithms, our algorithm also takes into account region and line structures that exist between minutiae pairs. This allows filling the small breaks in the curves created because of uneven surface and uneven pressure.

References
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Index Terms

Computer Science
Information Sciences

Keywords

minutiae ridge m_curve reference point

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