A Method and System of Dorsal Hand Vein Recognition Based on Improved Multi-task Learning
In order to promote the application of deep learning technology in the field of dorsal hand vein recognition,this paper proposes a dorsal hand vein recognition method based on improved multi-task learning,and develops a dorsal hand vein recognition system based on hardware and software cooperation.The experimental results on the self-collected dataset of dorsal hand vein show that the improved algorithm can achieve 99.59%accuracy,0.437%equal error rate and less than 1s recognition time on embedded devices,which is enough to meet the requirements of recognition performance in most application scenarios.The system developed above provides an effective solution for the application of the recognition method of dorsal hand vein.
dorsal hand vein recognitionmulti-task learningbasic modeimproved modelJetson NANOsystem development
NETL
NSTL
万方数据
