On the use of convolutional neural networks for robust classification of multiple fingerprint captures

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On the use of convolutional neural networks for robust classification of multiple fingerprint captures

Fingerprint classification is one of the most common approaches to accelerate the identification in large databases of fingerprints. Fingerprints are grouped into disjoint classes, so that an input fingerprint is compared only with those belonging to the predicted class, reducing the penetration rat...

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Bibliographic Details
Main Authors:	Peralta, Daniel, Triguero, Isaac, García, Salvador, Saeys, Yvan, Benitez, Jose M., Herrera, Francisco
Format:	Article
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/48156/

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