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.
Keywords: fingerprint images, minutiae extraction, ridge endings, ridge bifurcation, fingerprint recognition.
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ABOUT THE AUTHORS
Roli Bansal
Pursuing Ph. D. from University of Delhi in the area of Fingerprint Image Processing.
Priti Sehgal
Working as Associate Professor in Dept. of Comp. Sc., Keshav College, University of Delhi.
Punam Bedi
Working as Associate Professor in Dept. of Comp. Sc., University of Delhi.
Roli Bansal
Pursuing Ph. D. from University of Delhi in the area of Fingerprint Image Processing.
Priti Sehgal
Working as Associate Professor in Dept. of Comp. Sc., Keshav College, University of Delhi.
Punam Bedi
Working as Associate Professor in Dept. of Comp. Sc., University of Delhi.
