NDLI: A novel pore extraction method for heterogeneous fingerprint images using Convolutional Neural Networks

Content Provider	Scilit
Author	Labati, Ruggero Donida Genovese, Angelo Muñoz, Enrique Piuri, Vincenzo Scotti, Fabio
Copyright Year	2018
Description	Journal: Pattern Recognition Letters
Related Links	https://air.unimi.it/bitstream/2434/489894/2/prl_2017_web.pdf
Ending Page	66
Page Count	9
Starting Page	58
ISSN	01678655
DOI	10.1016/j.patrec.2017.04.001
Journal	Pattern Recognition Letters
Volume Number	113
Language	English
Publisher	Elsevier BV
Publisher Date	2018-10-01
Access Restriction	Open
Subject Keyword	Journal: Pattern Recognition Letters Atmospheric Sciences
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Signal Processing Computer Vision and Pattern Recognition Software

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A novel pore extraction method for heterogeneous fingerprint images using Convolutional Neural Networks