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A Quantitative Survey of various Fingerprint Enhancement techniques

by Kumud Arora, Dr.Poonam Garg
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 5
Year of Publication: 2011
Authors: Kumud Arora, Dr.Poonam Garg
10.5120/3383-4691

Kumud Arora, Dr.Poonam Garg . A Quantitative Survey of various Fingerprint Enhancement techniques. International Journal of Computer Applications. 28, 5 ( August 2011), 24-28. DOI=10.5120/3383-4691

@article{ 10.5120/3383-4691,
author = { Kumud Arora, Dr.Poonam Garg },
title = { A Quantitative Survey of various Fingerprint Enhancement techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 5 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number5/3383-4691/ },
doi = { 10.5120/3383-4691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:58.603122+05:30
%A Kumud Arora
%A Dr.Poonam Garg
%T A Quantitative Survey of various Fingerprint Enhancement techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 5
%P 24-28
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Preprocessing is an important step in the area of image processing and pattern recognition. This paper aims to present a review of recent as well as classic fingerprint image enhancement techniques. The umbrella of techniques used for evaluation varies from histogram based enhancement, frequency transformation based, Gabor filter based enhancement and its variants to composite enhancement technique. The effectiveness of enhancement techniques proposed by various researchers is evaluated on the basis of peak signal to noise ratio and equal error rate which refers to robustness and stability of identification process. Experimental results shows that incorporating the enhancement technique based on Gabor filter in wavelet domain and composite method improves equal error rate .Improved error rate and peak signal noise ratio improves the identification/verification accuracy marginally. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in enhancement of fingerprint images which is essential preprocessing step in automatic fingerprint identification and verification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

WFT (Windowed Fourier Transformation) Gabor Filters PSNR( Peak Signal-to-noise ratio) EER(Equal Error Rate)

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