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Fingerprint minutiae extraction from skeletonized binary images
1999
Pattern Recognition
Fingerprint comparison is usually based on minutiae matching. The minutiae considered in automatic identification systems are normally ridge bifurcations and terminations. In this paper we present a set of algorithms for the extraction of fingerprint minutiae from skeletonized binary images. The goal of the present work is the extraction of the real 40-60 minutiae of a fingerprint image from the 2000-3000 contained in typical skeletonized and binarized images. Besides classical methodologies
doi:10.1016/s0031-3203(98)00107-1
fatcat:p6bca3zhknhfpkrl7i5y2mwnc4