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A Contemporary Implementation of Two-Class Fingerprint Indexing

Published on August 2015 by Nachamai M, Joy Paulose, Samuel Marandi
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International Conference on Futuristic Innovations and Challenges to Diversity Management Emerging Technologies and Sustainability for Inclusive Industrial Growth
Foundation of Computer Science USA
ICFIDM2014 - Number 1
August 2015
Authors: Nachamai M, Joy Paulose, Samuel Marandi
548f6701-3293-4e87-8a72-e80c73a50604

Nachamai M, Joy Paulose, Samuel Marandi . A Contemporary Implementation of Two-Class Fingerprint Indexing. International Conference on Futuristic Innovations and Challenges to Diversity Management Emerging Technologies and Sustainability for Inclusive Industrial Growth. ICFIDM2014, 1 (August 2015), 1-3.

@article{
author = { Nachamai M, Joy Paulose, Samuel Marandi },
title = { A Contemporary Implementation of Two-Class Fingerprint Indexing },
journal = { International Conference on Futuristic Innovations and Challenges to Diversity Management Emerging Technologies and Sustainability for Inclusive Industrial Growth },
issue_date = { August 2015 },
volume = { ICFIDM2014 },
number = { 1 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/icfidm2014/number1/21913-5002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Futuristic Innovations and Challenges to Diversity Management Emerging Technologies and Sustainability for Inclusive Industrial Growth
%A Nachamai M
%A Joy Paulose
%A Samuel Marandi
%T A Contemporary Implementation of Two-Class Fingerprint Indexing
%J International Conference on Futuristic Innovations and Challenges to Diversity Management Emerging Technologies and Sustainability for Inclusive Industrial Growth
%@ 0975-8887
%V ICFIDM2014
%N 1
%P 1-3
%D 2015
%I International Journal of Computer Applications
Abstract

Biometric is a characteristic measure of a person. Through biometrics a person can be labeled. Fingerprint is a striking biometric which supersedes all other biometrics because of the property of universality and uniqueness. Most of the organizations which are time bound rely largely on fingerprint biometric. It is a known issue that fingerprints are images and manipulating it eventually takes time to search on database and retrieve or recognize it. The method proposed and implemented in this paper is a new and concise way of indexing a fingerprint database based on the edges that come from the fingerprint. It has been lucrative in classifying them into two classes. The algorithm success rate on the UPEK database and Sfinge dataset yielded a satisfactory true positive rate of 100% and 98% respectively.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Naive Bayes Classifier Biometrics Fingerprint Indexing Edge Operator.