Copyright © 2026 Authors retain the copyright of this article. This article 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.

@article{145680,
        author = {A.Ananda Gopi},
        title = {PREPROCESSING OF BIOMETRIC IMAGES USING VARIOUS FILTERING TECHNIQUES FOR EFFICIENT MEDICAL DIAGNOSIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {504-509},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145680},
        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.},
        keywords = {Preprocessing, Median. Gaussian, Disk,  PSNR, MSE.
 
},
        month = {},
        }