A State-of-the-art solution for finger-vein, palm-vein, dorsal-vein recognition by using deep learning techniques. The codes will be available after the acceptance notification of related journal/conference papers.

For the further details, please refer to:

[1] Kuzu, Rıdvan S., Maiorana, E. and Campisi, P. (2020), Loss Functions for CNN-based Biometric Vein Recognition, in 28th European Signal Processing Conference (EUSIPCO 2020), pp. 750-754

[2] Kuzu, Rıdvan S., Maiorana, E. and Campisi, P. (2020), Vein-based Biometric Verification using Transfer Learning, in 43rd International Conference on Telecommunications and Signal Processing (TSP), pp. 403-409

[3] Kuzu, Rıdvan S., Piciucco, E., Maiorana, E. and Campisi, P. (2020), On-the-Fly Finger-Vein-Based Biometric Recognition Using Deep Neural Networks, in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 2641-2654, doi: 10.1109/TIFS.2020.2971144.