PREPROCESSING OF BIOMETRIC IMAGES USING VARIOUS FILTERING TECHNIQUES FOR EFFICIENT MEDICAL DIAGNOSIS

PREPROCESSING OF BIOMETRIC IMAGES USING VARIOUS FILTERING TECHNIQUES FOR EFFICIENT MEDICAL DIAGNOSIS
Author(s):
A.Ananda Gopi
Keywords:
Preprocessing, Median. Gaussian, Disk, PSNR, MSE.
Abstract
In the present scenario the world of digital image processing dominates each and every corner in the field of Medical diagnosis. Most of the image which are captured is equipped with noise. In order to overcome the issue and in the elimination of noises preprocessing is a vital task as process itself as well as a component in other process. This paper presents various filtering techniques viz., Median, Average, Gaussian, Disk are used to eliminate the dissimilar noises in the biometric images. The experimentation is made with all the selected filters and the results are evaluated. The performances of the filter are evaluated in terms of Peak Signal-to-noise Ratio (PSNR), and Mean Square Error (MSE). Finally, the efficient filters which performs well in the elimination of noises are been considered for the further processing. Among them the median filter provides better enhancement result.
Article Details
Unique Paper ID: 145680 Publication Volume & Issue: Volume 4, Issue 11 Page(s): 504 - 509
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