Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

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Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

Fingerprint recognition has been a hot research topic along the last few decades, with many applications and ever growing populations to identify. The need of flexible, fast identification systems is therefore patent in such situations. In this context, fingerprint classification is commonly used to...

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Bibliographic Details
Main Authors:	Peralta, Daniel, Triguero, Isaac, García, Salvador, Saeys, Yvan, Benitez, Jose M., Herrera, Francisco
Format:	Article
Published:	Elsevier 2017
Subjects:	Fingerprint recognition; Fingerprint identification; Fingerprint classification; Large databases; Feature selection; Hierarchical classification
Online Access:	https://eprints.nottingham.ac.uk/41561/

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