PalmGAN can effectively achieve up to 5.08% improvement for cross-domain recognition, and Equal Error Rate (EER) can decrease to 0% for cross-domain ...

Nowadays, many efficient palmprint recognition algorithms have emerged. However, previous algorithms can only be used in a single domain.

The flow chart of PalmGAN. Through PalmGAN, source palmprint images were converted to labeled fake images. Then fake images were used to train supervised DHN.

The cross-domain conversion of a palmprint ROI using a generative approach [132] also represents a promising direction of research. A GAN-based architecture ...

PalmGAN [53] improves the cross-domain recognition performances by using Cycle-.

PalmGAN for cross-domain palmprint recognition. H Shao, D Zhong, Y Li. 2019 IEEE International Conference on Multimedia and Expo (ICME), 1390-1395, 2019. 23 ...

Co-authors ; PalmGAN for cross-domain palmprint recognition. H Shao, D Zhong, Y Li. 2019 IEEE International Conference on Multimedia and Expo (ICME), 1390-1395, ...

In this paper, we propose a palmprint translation convolutional neural network (PT-net) and the performance of translation from NIR to blue is tested.

Jun 1, 2024 · This paper introduces a novel palmprint generation method using diffusion probabilistic models, develops an end-to-end framework for synthesizing multiple palm ...

Palmgan for cross-domain palmprint recognition. In 2019 IEEE Interna- tional Conference on Multimedia and Expo (ICME), pages. 1390–1395. IEEE, 2019. [12] ...