Feature Component-Based Extreme Learning Machines for Finger Vein Recognition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Feature Component-Based Extreme Learning Machines for Finger Vein Recognition

Published:2014-03-15 Issue:3 Volume:6 Page:446-461
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Xie Shan Juan,Yoon Sook,Yang Jucheng,Lu Yu,Park Dong Sun,Zhou Bin

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-014-9254-3.pdf

Reference40 articles.

1. Miura N, Nagasaka A, Miyatake T. Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Mach Vis Appl. 2004;15(4):194–203.

2. Miura N, Nagasaka A, Miyatake T. Extraction of finger vein patterns using maximum curvature points in image profiles. IEICE-Trans Inf Syst. 2007;90(8):1185–94.

3. Song WS, Kim TJ, Kim HC. A finger-vein verification system using mean curvature. Pattern Recogn Lett. 2011;32(11):1541–7.

4. Hoover A, Kouznetsova V, Goldbaum M. Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response. IEEE Trans Med Imaging. 2000;19(3):203–10.

5. Chaudhuri S, Chatterjee S, Katz N, Nelson M, Goldbaum M. Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans Med Imaging. 1989;8:263–9.

Cited by 39 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. SoftVein-WELM: A Weighted Extreme Learning Machine Model for Soft Biometrics on Palm Vein Images;Electronics;2023-08-26

2. Transformer-based Multi-level Feature Extraction for Finger Vein Identification;Proceedings of the 15th International Conference on Digital Image Processing;2023-05-19

3. A study on finger vein recognition with few samples based on residual connected meta‐learning;Computer Animation and Virtual Worlds;2022-12-14

4. Recent Advancements in Finger Vein Biometrics: A Review;2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA);2022-10-08

5. A hybrid proposed image quality assessment and enhancement framework for finger vein recognition;Multimedia Tools and Applications;2022-02-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3