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

@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},
}

- launch_Demo_FusionNet.m: main file

- ./dirDB: directory where template are stored
- ./models: directory where pretrained models are saved

- A webcam
The code is preconfigured to use an integrated webcam. 
Change lines 51-52 of "launch_Demo_FusionNet.m" to change webcam
%cam = webcam('integrated');
%cam.Resolution = '640x480';

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

A. Genovese,
Source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"
https://github.com/AngeloUNIMI/FusionNet

A. Genovese,
Source code for palmprint segmentation and ROI extraction used in the IEEE TIFS 2019 and IEEE CIVEMSA 2019 papers,
https://github.com/AngeloUNIMI/PalmSeg

Yair Altman, 
"export_fig", 2018, 
https://it.mathworks.com/matlabcentral/fileexchange/23629-export_fig