Fingerprint Recognition by Using Iterative Closest Point

Abstract

Fingerprints are the oldest and most broadly used form of biometric identification. Everyone is known to have unique, immutable fingerprints. Fingerprint identification and recognition considered popular technique in many security and law enforcement applications. There are many systems rely on the matching of fingerprints using various methods and algorithm based on find position and orientation of ridge endings and bifurcations within the fingerprint image in level (level2,level3) we've focus on the other feature (bifurcation) which is found in detected ridges by applying a (3x3) mask to find bifurcation point. Also, we've find distances between bifurcation points