Minutiae Extraction from Fingerprint Images - a Review

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 features known as minutiae, marking minutiae accurately and rejecting false ones is very important. However, fingerprint images get degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. 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.Comment: 12 pages; IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, September 201

A Fingerprint Minutiae Recognition System Based on Genetic Algorithms

Abstract: In this paper, we propose a fingerprint verification system using two different modules: the automatic classification of fingerprints which is based on the minutiae-matching algorithms and the verification-search technique which is based on genetic algorithms. Our experiments on a large set of fingerprint images show that our approach is highly promising. Its performance shows a great flexibility in recognizing a person very quickly with an error-prone of at most 1%