A study on finger vein recognition with few samples based on residual connected meta‐learning
Author:
Affiliation:
1. College of mechanical engineering Zhejiang University of Technology Hangzhou China
Publisher
Wiley
Subject
Computer Graphics and Computer-Aided Design,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cav.2130
Reference32 articles.
1. Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification
2. YangJ YangJ ShiY.Finger‐vein segmentation based on multi‐channel even‐symmetric Gabor filters. Proceedings of the IEEE International Conference on Intelligent Computing and Intelligent Systems Shanghai China;2009:500‐503; IEEE.
3. PengJ WangN El‐LatifAAA LiQ NiuX.Finger‐vein verification using Gabor filter and sift feature matching. Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing Piraeus Greece Vol.2011;2012:45‐48.
4. Finger‐vein pattern identification using SVM and neural network technique;Wu JD;Expert Syst Appl,2011
5. Finger vein recognition using local line binary pattern;Rosdi BA;Sensors,2011
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