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Publication
ACSSC 1997
Conference paper
Hidden Markov model fingerprint classifier
Abstract
Fingerprint classification is an important indexing method for any fingerprint database or recognition system. Fingerprints are classified based on overall characteristics. This paper describes a novel method of classification using hidden Markov models to recognize the ridge structure of the print. The paper also describes a method for achieving any level of accuracy required by the system, by sacrificing the efficiency of the classifier Results are presented on a NIST fingerprint database.