AN EFFECTIVE NOISE REDUCTION SCHEME FOR THE IMPROVEMENT OF FINGERPRINT RIDGE ENHANCEMENT
Abstract
Author(s): A.Yesu Raja, S. Arumuga Perumal
Fingerprint enhancement is a critical step in fingerprint identification. Most of the existing enhancement algorithms are based on the local ridge direction. Existing methods can be improve d the clarity of the ridge and valley structures of input fingerprint image based on the estimated local ridge orientation and frequency. In this proposed method a better enhancement is achieved using a noise cancelation scheme which includes variance stabilizing Transformation (Anscombe Transform), Fuzzy filter and Curvelet transform. Fingerprint enhancement is done using Gabor based ridge enhancement. This algorithm has improved performance in goodness index of the extracted minutiae and the accuracy of an online fingerprint verification system.
