An application of stochastic languages to fingerprint pattern recognition |
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Authors: | B Moayer KS Fu |
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Affiliation: | School of Electrical Engineering, Purdue University, West Lafayette, IN 47907, U.S.A. |
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Abstract: | The purpose of this paper is to present a stochastic syntactic approach for representation and classification of fingerprint patterns.The fingerprint impressions are subdivided into sampling squares which are preprocessed for feature extraction. First, a brief summary of application of a class of context-free languages for recognition of fingerprints is presented. Next, using the same set of features, a class of stochastic context-free languages was used to further classify the fingerprint impressions. The recognizers using the class of context-free and stochastic context-free languages are named the first-level and second-level classifiers, respectively. Experimental results in terms of real data fingerprints are presented. |
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Keywords: | Syntactic pattern recognition stochastic languages fingerprint classification stochastic context-free grammars |
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