FusionNet

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", 
in Proc. of the 2019 IEEE Int. Conf. on Computational Intelligence & Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019), 
Tianjin, China, June 14-16, 2019, pp. 1-6. 
ISBN: 978-1-5386-8344-6. DOI: 10.1109/CIVEMSA45640.2019.9071620

Paper:

https://ieeexplore.ieee.org/document/9071620

Project page:

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

Outline:

Demo:

https://github.com/AngeloUNIMI/Demo_FusionNet

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},
    pages = {1-6},
}

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