Fingerprint Salt & Pepper Noisy Image Enhancement with Threshold Method
| Autor: | Saad Ali Alfadhli, Songfeng Lu, Mahmut Ince, Ismail Maulood, Shayem Saleh Alresheedi |
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| Rok vydání: | 2021 |
| Předmět: |
Pixel
Noise (signal processing) Computer science business.industry Salt (cryptography) Data_MISCELLANEOUS Fingerprint (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Salt-and-pepper noise Pattern recognition Filter (signal processing) Peak signal-to-noise ratio Pepper Artificial intelligence business |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 1077:012049 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/1077/1/012049 |
| Popis: | We present an adaptive threshold method for salt and pepper noisy fingerprint images. At first, we applied a threshold algorithm to detect noisy and corrupt pixels. Fingerprint image optimized with window filter produced pixels values. We measured the quality of the fingerprint images with peak signal to noise ratio and other efficient noise removing techniques were compared with it. The result shows improving performance of our method with remove salt and pepper noise from a fingerprint image. Our present work is useful to reduce or minimize medium level noise in fingerprint image. In future, we will work to reduce more than 80 percent noise level in fingerprint image. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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