Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-11-29
Computer Science
Computer Vision and Pattern Recognition
12 pages; IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, September 2011
Scientific paper
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.
Bansal Roli
Bedi Punam
Sehgal Priti
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