Robust and Efficient Finger Vein Recognition Using Binarized Difference of Gabor Jet on Grid
Author:
Affiliation:
1. Faculty of Mathematics, Kim Il Sung University, Pyongyang, DPR of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9970396/09930790.pdf?arnumber=9930790
Reference48 articles.
1. A theory for multiresolution signal decomposition: the wavelet representation
2. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
3. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition
4. Face recognition by elastic bunch graph matching
5. Distortion invariant object recognition in the dynamic link architecture
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-04
2. CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition;IEEE Transactions on Information Forensics and Security;2024
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