A fast novel algorithm for salt and pepper impulse noise removal using B-Splines for finger print forensic images

In Image Forensics, the accuracy of a proper Biometric Identification and Authentication Systems depends on the image quality to arrive at a reliable and accuracy result. To get a noise-free fingerprint image, they are subjected to preprocessing and filtering tasks. In this paper, we propose a faster and an efficient way to remove salt-and-pepper impulse noise and also the edge-preserving regularization of the henceforth obtained finger print noise free image using B-Splines. The results were found to be much better than the previously proposed nonlinear filters or regularization methods both in terms of noise removal as well as edge regularization for image forensics.