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Source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"

Home Page: http://iebil.di.unimi.it/fusionnet/index.htm

MATLAB 69.60% Makefile 4.82% CSS 2.24% Python 5.26% Clean 0.46% TeX 0.47% Shell 0.12% C 13.09% Objective-C 1.94% Roff 0.76% C++ 1.07% M 0.05% Java 0.13%

fusionnet's Introduction

PalmNet

Matlab source code for the paper:

A. Genovese, V. Piuri, F. Scotti, and S. Vishwakarma, 
"Touchless palmprint and finger texture recognition: A Deep Learning fusion approach", 
2019 IEEE Int. Conf. on Computational Intelligence & Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019),
Tianjin, China, June 14-16, 2019

Project page:

http://iebil.di.unimi.it/fusionnet/index.htm

Outline: Outline

Citation:

@InProceedings {civemsa19,
    author = {A. Genovese and V. Piuri and F. Scotti and S. Vishwakarma},
    booktitle = {Proc. of the 2019 IEEE Int. Conf. on Computational Intelligence & Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019)},
    title = {Touchless palmprint and finger texture recognition: A Deep Learning fusion approach},
    address = {Tianjin, China},
    month = {June},
    day = {14-16},
    year = {2019},
}

Main files:

- main_FusionNet.m: main file

Required files:

- ./images/DB Fusion Palm-Knuckle (orig)/REST_hand_database: 
Database of images downloaded from: http://www.regim.org/publications/databases/regim-sfax-tunisian-hand-database2016-rest2016/
The structure of the folders must be:
"images/DB Fusion Palm-Knuckle (orig)/REST_hand_database/p1"
"images/DB Fusion Palm-Knuckle (orig)/REST_hand_database/p2"
etc.

Part of the code uses the Matlab source code of the paper:

T. Chan, K. Jia, S. Gao, J. Lu, Z. Zeng and Y. Ma, 
"PCANet: A Simple Deep Learning Baseline for Image Classification?," 
in IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5017-5032, Dec. 2015.
DOI: 10.1109/TIP.2015.2475625
http://mx.nthu.edu.tw/~tsunghan/Source%20codes.html

the VLFeat library:

A. Vedaldi and B. Fulkerson, 
"VLFeat: An Open and Portable Library of Computer Vision Algorithms", 2008, 
http://www.vlfeat.org/

and the functions by Peter Kovesi:

Peter Kovesi, 
"MATLAB and Octave Functions for Computer Vision and Image Processing", 
https://www.peterkovesi.com/matlabfns/

The database used in the paper can be obtained at:

- REST:
  http://www.regim.org/publications/databases/regim-sfax-tunisian-hand-database2016-rest2016/

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