Open AccessFingerprint Salt & Pepper Noisy Image Enhancement with Threshold Method
Author(s) -
Mahmut Ince,
Songfeng Lu,
Saad Ali Alfadhli,
Ismail M. Maulood,
Shayem Saleh Alresheedi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1077/1/012049
Subject(s) - fingerprint (computing) , artificial intelligence , noise (video) , computer science , salt and pepper noise , computer vision , pixel , median filter , fingerprint recognition , pattern recognition (psychology) , filter (signal processing) , image quality , image (mathematics) , image processing
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.