Gender Classification of Iris Image Based on Residual Network

Fusheng Yu; Jiang Yu; Yuanfu Lu; Zhisheng Zhou; Guangyuan Li

doi:10.3788/LOP202158.1610022

Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1610022(2021)

Gender Classification of Iris Image Based on Residual Network

Fusheng Yu^1,2,3, Jiang Yu^1、*, Yuanfu Lu^2,3、**, Zhisheng Zhou^2,3, and Guangyuan Li^2,3

Author Affiliations

¹School of Information, Yunnan University, Kunming, Yunnan 650000, China

²Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518000, China

³Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 2, 2025

The article is cited by 3 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Fusheng Yu, Jiang Yu, Yuanfu Lu, Zhisheng Zhou, Guangyuan Li. Gender Classification of Iris Image Based on Residual Network[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610022

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Image Processing

Received: Aug. 5, 2020

Accepted: Oct. 10, 2020

Published Online: Aug. 16, 2021

The Author Email: Jiang Yu (yujiang@ynu.edu.cn), Yuanfu Lu (yf.lu@siat.ac.cn)

DOI:10.3788/LOP202158.1610022

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology