Performance Analysis of Various Filtering Algorithm for Biometrics Image

Authors

  • Banupriya S Computer and Communication Engineering, Tamilnadu College of Engineering, Coimbatore, India
  • Karnan M Dept. of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore, India
  • Sivakumar R Dept. of Information Technology, Tamilnadu College of Engineering, Coimbatore, India

Keywords:

Adaptive filter, Mean filter, Median filte, Kalman filter, Gaussian filter, Additive noise, Mean Square Error

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.

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Published

2014-03-31

How to Cite

[1]
Banupriya S, Karnan M, and Sivakumar R, “Performance Analysis of Various Filtering Algorithm for Biometrics Image”, Int. J. Comp. Sci. Eng., vol. 2, no. 3, pp. 9–13, Mar. 2014.

Issue

Vol. 2 No. 3 (2014): IJCSE March Edition

Section

Research Article

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