An experimental study of relative total variation and probabilistic collaborative representation for iris recognition-Reference-Cited by-同舟云学术

An experimental study of relative total variation and probabilistic collaborative representation for iris recognition

Published:2020-08-24 Issue:43-44 Volume:79 Page:31783-31801
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Karn Pradeep^ORCID,He XiaoHai,Zhang Jin,Zhang Yanteng

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-09553-7.pdf

Reference57 articles.

1. Ahamed A, Bhuiyan MIH (2012) Low complexity iris recognition using curvelet transform. In: 2012 international conference on informatics. Electronics & Vision (ICIEV), IEEE, pp 548–553

2. Alliney S (1997) A property of the minimum vectors of a regularizing functional defined by means of the absolute norm. IEEE Trans Signal Process 45(4):913–917

3. Al-Raisi A, Al-Khouri A (2008) Iris recognition and the challenge of homeland and border control security in UAE. Telematics Inform 25(2):117–132

4. Barpanda SS, Sa PK, Marques O, Majhi B, Bakshi S (2018) Iris recognition with tunable filter bank based feature. Multimed Tools Appl 77(6):7637–7674

5. Belcher C, Du Y (2009) Region-based SIFT approach to iris recognition. Opt Lasers Eng 47(1):139–147

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. Data-knowledge driven: a new learning strategy for iris recognition;Multimedia Tools and Applications;2023-08-30

2. Gait Recognition Based on Deep Learning: A Survey;ACM Computing Surveys;2022-01-18