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|a pubmed24n0703.xml
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|a (DE-627)NLM211016128
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|a (NLM)21869354
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Moayer, B
|e verfasserin
|4 aut
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|a A tree system approach for fingerprint pattern recognition
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|c 1986
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 02.10.2012
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|a Date Revised 12.11.2019
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a The purpose of this paper is to demonstrate how a syntactic approach and, in particular, a tree system may be used to represent and classify fingerprint patterns. The fingerprint impressions are subdivided into sampling squares which are preprocessed and postprocessed for feature extraction. A set of regular tree languages is used to describe the fingerprint patterns and a set of tree automata is used to recognize the coded patterns. In order to infer the structural configuration of the encoded fingerprints, a grammatical inference system is developed. This sytem utilizes a simple procedure to infer the numerous substructures and relies on a reachability matrix and a man-machine interactive technique for the inference of complex structures. The 92 fingerprint impressions were used to test the proposed approach. A set of 193 tree grammars was inferred from each sampling square of the 4 × 4 sampling matrix which is capable of generating about 2 × 1034 classes for the fingerprint patterns
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|a Journal Article
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|a Fu, K S
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 8(1986), 3 vom: 01. März, Seite 376-87
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:8
|g year:1986
|g number:3
|g day:01
|g month:03
|g pages:376-87
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|d 8
|j 1986
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|h 376-87
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