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Automatic Classification of Fingerprint Images
1990
IAPR International Workshop on Machine Vision Applications
Classification of fingerprints into disjoint categories can result in more accurate and faster matching. Fingerprint experts classify fingerprints into the following broad categories: whorls, leff loops, right loops, arches and composites. Traditionally, syntactic approaches have been employed for fingerprint classification. But the resuslts of classification using this approach have not been encouraging due to factors such as large variations within patterns of the same class and the
dblp:conf/mva/MehtreJ90
fatcat:7aywlczj5vhq3ndzb6iquec2vy