Robust palmprint recognition based on the fast variation Vese–Osher model-Reference-Cited by-同舟云学术

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Robust palmprint recognition based on the fast variation Vese–Osher model

Published:2016-01 Issue: Volume:174 Page:999-1012
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Hong Danfeng,Liu Wanquan,Wu Xin,Pan Zhenkuan,Su Jian

Funder

National Natural Science Foundation of China

National “Twelfth Five-Year” Development Plan of Science and Technology

Shandong Province Higher Educational Science and Technology Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference29 articles.

1. Contactless palmprint and knuckle biometrics for mobile devices;Choras;Pattern Anal. Appl.,2012

2. Total variation blind deconvolution;Chen;IEEE Trans. Image Process.,1998

3. Distinctive image features from scale-invariant keypoints;David;Int. J. Comput. Vis.,2004

4. N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2005, pp. 886–893

5. X. Fan, Q. Zhang, D.Q. Liang, L. Zhao, Face image restoration based on statistical prior and image blur measure, In: Proceedings of IEEE International Conference on Multimedia and Expo, 2003 pp. 297–300

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3. CECNet: Coordinate Encoding Competitive Neural Network For Palm Vein Recognition by Soft Large Margin Centralized Cosine Loss;IEEE Access;2023

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