The Mathematical Model and Deep Learning Features Selection for Whorl Fingerprint Classifications

Authors

Ibrahim Jawarneh¹, Nesreen Alsharman^{2, *,}

¹Department of Mathematics, Al-Hussein Bin Talal University, Ma'an, Jordan

²Computer Science, The World Islamic Sciences and Education University, Amman, Jordan

^*Corresponding author. Email: nesreen.alsharman@wis.edu.jo

DOI

10.2991/ijcis.d.210318.002How to use a DOI?

Keywords

Whorl fingerprint; Classes of whorl fingerprint; Simulations of dynamical system for whorl fingerprint; Convolutional neural networks architectures

Abstract

In this paper, different classes of the whorl fingerprint are discussed. A general dynamical system with a parameter θ is created using differential equations to simulate these classes by varying the value of θ. The global dynamics is studied, and the existence and stability of equilibria are analyzed. The Maple is used to visualize fingerprint's orientation image as a smooth deformation of the phase portrait of a planar dynamical system. In general, the databases of fingerprint are not categorized to retained by artificial intelligence tools such Convolutional Neural Networks (CNNs) architectures, so finding a dynamical system to categorize fingerprint database of fingerprints images allows CNNs architectures to retrained with more accuracy. NIST Special Database (SD) 302d fingerprint dataset is retrained over VGG16 as CNN architecture.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Ibrahim Jawarneh
AU  - Nesreen Alsharman
PY  - 2021
DA  - 2021/03/31
TI  - The Mathematical Model and Deep Learning Features Selection for Whorl Fingerprint Classifications
JO  - International Journal of Computational Intelligence Systems
SP  - 1208
EP  - 1216
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210318.002
DO  - 10.2991/ijcis.d.210318.002
ID  - Jawarneh2021
ER  -