Identification and Extraction of Fingerprint Minutiae Features
Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition Systems are based on local ridge and bifurcations as features known as minutiae, marking minutiae accurately is very important. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. Identification and Extraction of Fingerprint Minutiae Features This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae. The techniques are broadly classified as those working on binarized images and those that work on gray scale images directly. Here we proposed the binarized technique to extracting minute features. This proposed system is going to simulated using Matlab R2013a software.