Constrained unsteady-state iris fast certification for lightweight training samples based on the scale change stable feature and multi-algorithm voting-Reference-Cited by-同舟云学术

Constrained unsteady-state iris fast certification for lightweight training samples based on the scale change stable feature and multi-algorithm voting

Published:2020-05-05 Issue:5 Volume:15 Page:e0232319
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Liu Shuai^ORCID,Liu Yuanning,Zhu Xiaodong,Cui Jingwei,Zhang Qixian,Ding Tong,Zhang Kuo,Wu Zukang,Yang Yanan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jilin Province

Jilin Province Industrial Innovation Special Fund Project

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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5. Ant Colony Mutation Particle Swarm Optimization for Secondary Iris Recognition;Liu Shuai;Journal of Computer-Aided Design and Computer Graphics,2018

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