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A Comparative Study of Fingerprint Individuality Models

by Oluwatayo Samuel Ogunlana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 5
Year of Publication: 2021
Authors: Oluwatayo Samuel Ogunlana
10.5120/ijca2021921322

Oluwatayo Samuel Ogunlana . A Comparative Study of Fingerprint Individuality Models. International Journal of Computer Applications. 183, 5 ( May 2021), 40-47. DOI=10.5120/ijca2021921322

@article{ 10.5120/ijca2021921322,
author = { Oluwatayo Samuel Ogunlana },
title = { A Comparative Study of Fingerprint Individuality Models },
journal = { International Journal of Computer Applications },
issue_date = { May 2021 },
volume = { 183 },
number = { 5 },
month = { May },
year = { 2021 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number5/31926-2021921322/ },
doi = { 10.5120/ijca2021921322 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:58.433277+05:30
%A Oluwatayo Samuel Ogunlana
%T A Comparative Study of Fingerprint Individuality Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 5
%P 40-47
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of fingerprint as a means of identification and verification of human identity cannot be over-emphasized in our society due to its reliability, immutability and individuality. It is still the most reliable biometric used to identify individual. Application areas include but not limited to Police, Security, access control and investigation of criminal cases. Several models have been developed for quantitatively established the degree of fingerprint individuality. These models are based on grids, polar systems, fixed probabilities, relative measurements and generative distributions. This paper provides a comparative study of commonly known fingerprint individuality models with emphasis on methodologies, strengths and weakness.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint individuality Probability of random correspondence minutiae and ridges model

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