Figure 17. Algorithm A9pseudocode-Efficient Filtering of Noisy Fingerprint Images
| Main Author: | MariaLiliana Costin |
|---|---|
| Format: | info Image |
| Bahasa: | eng |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://www.edusoft.ro/brain/index.php/brain/issue/view/34 |
Daftar Isi:
- The proposed algorithms refer to two directions: suppressing the noise resulted from acquisition of the fingerprints, the Gaussian noise in filters: A1 to A8 and to “salt and pepper” reduction noise in A9. The set of 9 filters make use of some methods like: &thresholds for segmentation of the digital images and adapted for filters A4, A5 and A6; &quartiles that dive ranked data set in four equal groups and they are applied on the filters: A1, A2, A4, A6, A7, A8, A9; &selections of parameters, like in: A7, A8 and the dimension of the local neighborhood (in our case 10x10 pixels);