Performance evaluation of filters in noise removal of fingerprint image

Biometric Identification and Authentication Systems are in need of a quality image in order to aim at a reliable and accuracy result. The quality of the fingerprint is obtained by the noise free images. To get a noise-free fingerprint image, they are applied under the pre-processing and filtering tasks. Especially the Fingerprint Recognition system is demanded by the accuracy factor. This paper made an attempt to evaluate the filtering techniques in the removal of noises such as Random Impulsive Noise, Gaussian Noise, Salt & Pepper Noise, Speckle Noise and Poisson Noise. In this paper, different filtering techniques such as Average Filtering (AF), Median Filtering (MF) and Adaptive Weiner Filtering (AWF) techniques were applied and compared the performance using a statistical approach called the correlation value. We related and compared the Noisy image with the each and every filtered image. We observed the experimental result to identify the better filtering technique.