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Uniformity Level Approach to Fingerprint Ridge Frequency Estimation

by Iwasokun Gabriel Babatunde, Akinyokun Oluwole Charles, Olabode Olatunbosun
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 22
Year of Publication: 2013
Authors: Iwasokun Gabriel Babatunde, Akinyokun Oluwole Charles, Olabode Olatunbosun
10.5120/10229-4809

Iwasokun Gabriel Babatunde, Akinyokun Oluwole Charles, Olabode Olatunbosun . Uniformity Level Approach to Fingerprint Ridge Frequency Estimation. International Journal of Computer Applications. 61, 22 ( January 2013), 26-32. DOI=10.5120/10229-4809

@article{ 10.5120/10229-4809,
author = { Iwasokun Gabriel Babatunde, Akinyokun Oluwole Charles, Olabode Olatunbosun },
title = { Uniformity Level Approach to Fingerprint Ridge Frequency Estimation },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 22 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number22/10229-4809/ },
doi = { 10.5120/10229-4809 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:19.265070+05:30
%A Iwasokun Gabriel Babatunde
%A Akinyokun Oluwole Charles
%A Olabode Olatunbosun
%T Uniformity Level Approach to Fingerprint Ridge Frequency Estimation
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 22
%P 26-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Stages of fingerprint image enhancement include segmentation, normalization, filtering, binarization and filtering. Each of these stages has proved to be very essential for achieving a well enhanced fingerprint image. The major prerequisites to filtering a fingerprint image are ridge orientation and frequency estimations. While ridge orientation estimation is done to obtain the orientation of the ridges, ridge frequency estimation is done with a view to ascertaining the number of ridges within a unit length. The number is useful for fingerprint image filtering. In this paper, a modified fingerprint ridge frequency estimation algorithm is implemented. The modified algorithm consists of stages for estimating ridge orientation and uniformity levels. Two types of images; namely synthetic and real fingerprints were used to evaluate the performance of the algorithm. The results of the evaluation reveal that the modified algorithm shows greater speed and effectiveness than its original version. Facts also emerged on the basic characteristics of the estimates.

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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Enhancement Ridge Frequency Estimation Biometrics Uniformity Level

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