Fingerprint Classification through Standard and Weighted Extreme Learning Machines

Fingerprint Classification through Standard and Weighted Extreme Learning Machines

Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this problem propose methods based on deep convolutional neural networks (CNNs) by...

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Bibliographic Details
Main Authors: David Zabala-Blanco, Marco Mora, Ricardo J. Barrientos, Ruber Hernández-García, José Naranjo-Torres
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
fingerprint classification
fingerprint features
extreme learning machine
unbalanced dataset
Online Access:https://www.mdpi.com/2076-3417/10/12/4125

Internet

https://www.mdpi.com/2076-3417/10/12/4125

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