SYEnet: Simple yet effective network for palmprint recognition-Reference-Cited by-同舟云学术

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SYEnet: Simple yet effective network for palmprint recognition

Published:2024-05 Issue: Volume:669 Page:120518
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ma Siyuan^ORCID,Hu Qintai^ORCID,Zhao Shuping,Chen Siyuan,Jiang Lin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference48 articles.

1. 3-d ultrasound palmprint recognition system based on principal lines extracted at several under skin depths;Iula;IEEE Trans. Instrum. Meas.,2019

2. Fusion analysis of a palmprint-hand geometry multimodal ultrasound recognition system;Micucci,2023

3. Joint deep convolutional feature representation for hyperspectral palmprint recognition;Zhao;Inf. Sci.,2019

4. Learning salient and discriminative descriptor for palmprint feature extraction and identification;Zhao;IEEE Trans. Neural Netw. Learn. Syst.,2020

5. Multiscale multidirection binary pattern learning for discriminant palmprint identification;Ma;IEEE Trans. Instrum. Meas.,2023

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. Efficient Contactless Palmprint Recognition System Based on Deep Rule-Based Classification;Acta Informatica Pragensia;2024-08-04

2. Palmprint Extraction from 3D Ultrasound Images Collected Through Compounded Plane Waves;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

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