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Noise Suppression Scheme using Median Filter in Gray and Binary Images

Author(s): E. Chandra | K. Kanagalakshmi

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 26;
Issue: 1;
Start page: 49;
Date: 2011;
Original page

Keywords: Correlation | Fingerprint | Gray-Image | Binary-Image | Median filter

The Quality factor always integrates performance of everything. The performance of a fingerprint image matching process relies on the quality of the fingerprint image. The poor quality image does not define a good structure of the fingerprint image; and the noisy images affect the reliability of Automated Authentication and the Identification systems. To get a good quality image, noises should be suppressed. In this paper, a new scheme is generated to eliminate noise using Median filter. We made an attempt to apply the new scheme on both the grayscale image and the binary image in order to get better and accurate fingerprint features for further process. The experimental result shows the expected measures such as effectiveness and performance on the median filter using the statistical correlation factor and the computational time among the gray and binary images. The proposed algorithm was implemented using MATLAB 7.10.0 tool. The experimental results show that the algorithm for the enhancement of gray level image gives effectiveness and no loss of information, whereas there is some loss of information in the binary image.,
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