Finger vein recognition based on deep learning
Wenjie Liu, Weijun Li, Linjun Sun, Liping Zhang, Peng Chen · 2017
As a new biometric technology, finger vein recognition has received much attention in recent years. Since deep learning is an end-to-end system, and has achieved very good results in such fields as face recognition and target detection, we try to apply it to finger vein recognition. In this paper, we adopt seven layers of CNN which include 5 convolution layers and 2 fully-connected layers. This network obtains a recognition rate of 99.53%, which proves to be better performing than traditional algorithm.