Learning binary hash codes for finger vein image retrieval-Reference-Cited by-同舟云学术

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Learning binary hash codes for finger vein image retrieval

Published:2019-01 Issue: Volume:117 Page:74-82
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Su Kun,Yang Gongping^ORCID,Yang Lu,Li Dunfeng,Su Peng,Yin Yilong^ORCID

Funder

National Science Foundation

Research and Development

Shandong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference48 articles.

1. Human identification using finger images;Kumar;IEEE Trans. Image Process.,2012

2. Finger vein verification based on a personalized best patches map;Dong,2014

3. Singular value decomposition based minutiae matching method for finger vein recognition;Liu;Neurocomputing,2014

4. Finger vein recognition based on (2d)2pca and metric learning;Yang;J. Biomed. Biotechnol.,2012

5. Finger vein identification based on minutiae feature extraction with spurious minutiae removal;Prabhakar,2013

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1. Fingervein Verification using Convolutional Multi-Head Attention Network;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. A novel cancelable finger vein templates based on LDM and RetinexGan;Pattern Recognition;2023-10

3. A finger vein authentication method based on the lightweight Siamese network with the self-attention mechanism;Infrared Physics & Technology;2023-01

4. Deep Residual Vector Encoding for Vein Recognition;Electronics;2022-10-13

5. Classification of vein pattern recognition using hybrid deep learning;Journal of Intelligent & Fuzzy Systems;2022-09-22

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