A novel pore extraction method for heterogeneous fingerprint images using convolutional neural networks

RD Labati, A Genovese, E Munoz, V Piuri… - Pattern Recognition …, 2018 - Elsevier
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …
被引用次数：96 相关文章
[PDF] unimi.it

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

RD Labatia, A Genovesea, E Munoza, V Piuria… - piurilabs.di.unimi.it
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …

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

R Donida Labati, A Genovese… - PATTERN …, 2018 - air.unimi.it
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …

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

R Donida Labati, A Genovese… - Pattern …, 2018 - ui.adsabs.harvard.edu
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …
[PDF] core.ac.uk

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

RD Labatia, A Genovesea, E Munoza, V Piuria… - core.ac.uk
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …
[PDF] unimi.it

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

RD Labatia, A Genovesea, E Munoza, V Piuria… - air.unimi.it
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …