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Reseach Article

A Study of Latent Fingerprint Matching Approaches

Published on December 2014 by Ganesh Chaudhari, R. B. Wagh
National Conference on Emerging Trends in Information Technology
Foundation of Computer Science USA
NCETIT - Number 1
December 2014
Authors: Ganesh Chaudhari, R. B. Wagh
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Ganesh Chaudhari, R. B. Wagh . A Study of Latent Fingerprint Matching Approaches. National Conference on Emerging Trends in Information Technology. NCETIT, 1 (December 2014), 14-17.

@article{
author = { Ganesh Chaudhari, R. B. Wagh },
title = { A Study of Latent Fingerprint Matching Approaches },
journal = { National Conference on Emerging Trends in Information Technology },
issue_date = { December 2014 },
volume = { NCETIT },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 14-17 },
numpages = 4,
url = { /proceedings/ncetit/number1/19069-3018/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Information Technology
%A Ganesh Chaudhari
%A R. B. Wagh
%T A Study of Latent Fingerprint Matching Approaches
%J National Conference on Emerging Trends in Information Technology
%@ 0975-8887
%V NCETIT
%N 1
%P 14-17
%D 2014
%I International Journal of Computer Applications
Abstract

Fingerprint based identification is one of the most mature and proven technique compare to the all biometric technique. In crime sense fingerprints have been extensively used for identification of criminals. Fingerprints are classified as rolled, plain and latent fingerprints. Latent fingerprints are lifted from surface of objects that are unintentionally touched by person. Latent means poor quality of images or unclear image i. e. smudgy, blurred, moist, small area or fingerprints that contains fewer amount of minutiae. Matching latent fingerprints over rolled or plain fingerprints that is difficult task. Therefore, it is necessary to extract all fingerprint features that are present in latent fingerprint images for accurate matching. Although tremendous progress has been made AFIS (Auto-mated Fingerprint Identification System), this system works well only in that case where rolled and plain fingerprint images. There-fore, semi-automatic system is feasible for feature extraction of la-tent images i. e. some human intervention is allowed during feature extraction from latent fingerprint images. Before feature ex-traction performed it is necessary to improve the quality of la-tent image because they are lifted from any surface and it is easy to extract features from improved quality of latent images. Then outputs candidates are matched over rolled fingerprint images by using fully automatic system. This paper presents study of various techniques that are useful for latent fingerprint matching.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Features Latent Afis Matching Segmentation.