|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 50 - Number 4
|Year of Publication: 2012
|Authors: Megha Kulshrestha, V. K. Banga, Sanjeev Kumar
Megha Kulshrestha, V. K. Banga, Sanjeev Kumar . Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach. International Journal of Computer Applications. 50, 4 ( July 2012), 17-21. DOI=10.5120/7759-0823
Fingerprints are the most popular and studied biometrics features. Their stability and uniqueness make the fingerprint identification system extremely reliable and useful for security applications. Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. This paper deals with the issue of selection o fan optimal algorithm for fingerprint matching in order to design a system that matches required specifications in performance and accuracy. Two approaches have been discussed in this paper based on minutiae located in a fingerprint and based on gabor filter which is used to matching the fingerprint.