A novel finger vein verification system based on two-stream convolutional network learning

作者：Fang, Yuxun; Wu, Qiuxia; Kang, Wenxiong^*

来源：Neurocomputing, 2018, 290: 100-107.

DOI：10.1016/j.neucom.2018.02.042

• Finger vein verification
• Deep learning
• Metric network
• Two-stream network

Convolutional neural networks have been proven to have strong feature representation ability; however, they often require large training samples and high computation that are infeasible for real-time finger vein verification. To address this limitation, we propose a lightweight deep-learning framework for finger vein verification. First, we designed a lightweight two-channel network that has only three convolution layers for finger vein verification. Then, we extracted the mini-ROI from the original image to better solve the displacement problem based on the evaluation of the two-channel network. Finally, we present a two-stream network to integrate the original image and the mini-ROI that achieves results superior to the current state of the art on both the MMCBNU and SDUMLA databases.

• 出版日期2018-5-17
• 单位华南理工大学