Abstract: In this world of mobile and cameras, new methods differ from the traditional methods. Traditional methods used contact-based fingerprint matching while the new technique uses contact-less fingerprint matching. Fingerprint matching using sensors uses greyscale images which are very much defining comparative to the images which are taken by cameras and mobiles. And in case of mobile and cameras images can be blurred including noise and distortion. In this paper, we are defining techniques to overcome the issues of blurred images and have to find out better minutiae to match with the database set. To extract the features from blurred images, images which are taken by low cost sensors are filtered and then further processed for minutiae matching.