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Performance Analysis of Various Filtering Algorithm for Biometrics Image

Banupriya S1 , Karnan M2 , Sivakumar R3

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-3 , Page no. 9-13, Mar-2014

Online published on Mar 30, 2014

Copyright © Banupriya S, Karnan M, Sivakumar R . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Banupriya S, Karnan M, Sivakumar R, “Performance Analysis of Various Filtering Algorithm for Biometrics Image,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.9-13, 2014.

MLA Style Citation: Banupriya S, Karnan M, Sivakumar R "Performance Analysis of Various Filtering Algorithm for Biometrics Image." International Journal of Computer Sciences and Engineering 2.3 (2014): 9-13.

APA Style Citation: Banupriya S, Karnan M, Sivakumar R, (2014). Performance Analysis of Various Filtering Algorithm for Biometrics Image. International Journal of Computer Sciences and Engineering, 2(3), 9-13.

BibTex Style Citation:
@article{S_2014,
author = {Banupriya S, Karnan M, Sivakumar R},
title = {Performance Analysis of Various Filtering Algorithm for Biometrics Image},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2014},
volume = {2},
Issue = {3},
month = {3},
year = {2014},
issn = {2347-2693},
pages = {9-13},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=58},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=58
TI - Performance Analysis of Various Filtering Algorithm for Biometrics Image
T2 - International Journal of Computer Sciences and Engineering
AU - Banupriya S, Karnan M, Sivakumar R
PY - 2014
DA - 2014/03/30
PB - IJCSE, Indore, INDIA
SP - 9-13
IS - 3
VL - 2
SN - 2347-2693
ER -

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Abstract

Image filtering algorithms are applied on images to remove the noise that are either present in the image during capturing in to the image during transmission. These Gaussian noise, speckle noise and salt and pepper noise are occurred when captured the image. Five different image filtering algorithms are compared with three different noises types. The Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are compared by filters. The median filter gives desirable results in two parameters for the three different noises.

Key-Words / Index Term

Adaptive filter, Mean filter, Median filter, Kalman filter, Gaussian filter, Additive noise, Salt and pepper noise, Modified Spatial Median filter for Gaussian noise, Peak Signal to Noise Ratio and Mean Square Error.

References

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