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An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System

by Sude Tavassoli, Mahboubeh Yaqubi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 1
Year of Publication: 2011
Authors: Sude Tavassoli, Mahboubeh Yaqubi
10.5120/3350-4619

Sude Tavassoli, Mahboubeh Yaqubi . An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System. International Journal of Computer Applications. 28, 1 ( August 2011), 34-40. DOI=10.5120/3350-4619

@article{ 10.5120/3350-4619,
author = { Sude Tavassoli, Mahboubeh Yaqubi },
title = { An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 1 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number1/3350-4619/ },
doi = { 10.5120/3350-4619 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:39.493744+05:30
%A Sude Tavassoli
%A Mahboubeh Yaqubi
%T An Efficient Preprocessing Technique for Noise Reduction in Ear Verification System
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 1
%P 34-40
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, Biometric systems are considered superior in technological developments, because they provide a non-transferable means of identifying people not just cards or badges. The image enhancement step is designed to reduce noise in this area. The key point about an identification method that is “nontransferable" means it cannot be given or lent to another individual so nobody can get around the system they personally have to go through the control point. The image enhancement before feature extraction system can be very efficient. In this paper a new method is proposed to raise the performance of an ear verification system, since at first, using hybrid denoising method, the noises removed from ear image and then the next step denoisy image is used for verification system. Experimental results in this study show that Gaussian noises well removed from the ear images and has acceptable affect on verification accuracy.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image denoising Preprocessing Verification system Adaptive Neuro-Fuzzy Inference System Fuzzy Wavelet Shrinkage

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