A Novel Approach for Extracting Fingerprint Features From Blurred Images
Biometrics is the science and technology of authentication by identifying the living individual's physiological or behavioral attributes. Fingerprint identification is one of the most well known and published biometrics. Normally in blurred fingerprints the extraction of ridges becomes very difficult. But the extraction of valleys instead of ridges from the same blurred fingerprint images will produce better results. In this paper, the authors have tried the extraction of features with different types of filters like Median filter, Gaussian filter, Wiener filter, Kalman filter and Gabor filter. They noticed that the extraction of valleys instead of ridges from blurred fingerprints will produce more features for forth coming processes like post-processing and matching process.