Efficient hand vein recognition using local keypoint descriptors and directional gradients-Reference-Cited by-同舟云学术

Efficient hand vein recognition using local keypoint descriptors and directional gradients

Published:2022-02-28 Issue:11 Volume:81 Page:15687-15705
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Alshayeji Mohammad H.^ORCID,Al-Roomi Suood Abdulaziz,Abed Sa’ed

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/s11042-022-12608-6.pdf

Reference39 articles.

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2. Ananthi G, Sekar JR, Arivazhagan S (2021) Human palm vein authentication using curvelet multiresolution features and score level fusion. Vis Comput:1–14

3. Arakala A, Hao H, Davis S, Horadam K (2015) The palm vein graph - feature extraction and matching. In: International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and and Technology Publications, pp 56–64

4. Babalola FO, Bitirim Y, Toygar Ö (2021) Palm vein recognition through fusion of texture-based and CNN-based methods. SIViP 15:459–466

5. Bay H, Tuytelaars T, Van Gool L (2006) SURF: Speeded Up Robust Features. In: SURF: speeded up robust features. Springer, Berlin, Heidelberg, pp 404–417

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