Joint Discriminative Analysis With Low-Rank Projection for Finger Vein Feature Extraction-Reference-Cited by-同舟云学术

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Joint Discriminative Analysis With Low-Rank Projection for Finger Vein Feature Extraction

Published:2024 Issue: Volume:19 Page:959-969
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Li Shuyi¹^ORCID,Ma Ruijun²^ORCID,Zhou Jianhang³^ORCID,Zhang Bob³^ORCID,Wu Lifang¹^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. College of Engineering, South China Agricultural University, Guangzhou, China

3. Department of Computer and Information Science, PAMI Research Group, University of Macau, Macau, China

Funder

National Natural Science Foundation of China

University of Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10288517.pdf?arnumber=10288517

Reference41 articles.

1. A study of two direction weighted (2D)2LDA for finger vein recognition;guan;Proc 4th Int Congr Image Signal Process,2011

2. Finger Vein Recognition Based on Weighted Graph Structural Feature Encoding

3. Exploring soft biometric trait with finger vein recognition

4. Personal authentication using finger vein pattern and finger-dorsa texture fusion

5. An Adaptive Discriminant and Sparsity Feature Descriptor for Finger Vein Recognition

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