CASIA OpenIR  > 智能感知与计算
Cross-spectral iris recognition by learning device-specific band
Wei Jianze1,2; Wang Yunlong2; Li Yi3; He Ran2; Sun Zhenan2
Source PublicationIEEE Transactions on Circuits and Systems for Video Technology
2022-06
Volume32Issue:6Pages:3810 - 3824
Abstract

Cross-spectral recognition is still an open challenge in iris recognition. In cross-spectral iris recognition, there exist distinct device-specific bands between near-infrared (NIR) and visible (VIS) images, resulting in the distribution gap between samples from different spectra and thus severe degradation in recognition performance. To tackle this problem, we propose a new cross-spectral iris recognition method to learn spectral-invariant features by estimating device-specific bands. In the proposed method, Gabor Trident Network (GTN) first utilizes the Gabor function’s priors to perceive iris textures under different spectra, and then codes the device-specific band as the residual component to assist the generation of spectral-invariant features. By investigating the device-specific band, GTN effectively reduces the impact of device-specific bands on identity features. Besides, we make three efforts to further reduce the distribution gap. First, Spectral Adversarial Network (SAN) adopts a class-level adversarial strategy to align feature distributions. Second, Sample-Anchor (SA) loss upgrades triplet loss by pulling samples to their class center and pushing away from other class centers. Third, we develop a higher-order alignment loss to measures the distribution gap according to space bases and distribution shapes. Extensive experiments on five iris datasets demonstrate the efficacy of our proposed method for cross-spectral iris recognition.

Keywordiris recognition device-specific band cross- spectral recognition adversarial strategy
MOST Discipline Catalogue工学::计算机科学与技术(可授工学、理学学位)
Indexed BySCI
Language英语
WOS IDWOS:000805833400042
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48621
Collection智能感知与计算
Corresponding AuthorSun Zhenan
Affiliation1.School of Artificial Intelligence, University of Chinese Academy of Sciences
2.Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
3.Shool of Artificial Intelligence, Dalian University of Technology
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wei Jianze,Wang Yunlong,Li Yi,et al. Cross-spectral iris recognition by learning device-specific band[J]. IEEE Transactions on Circuits and Systems for Video Technology,2022,32(6):3810 - 3824.
APA Wei Jianze,Wang Yunlong,Li Yi,He Ran,&Sun Zhenan.(2022).Cross-spectral iris recognition by learning device-specific band.IEEE Transactions on Circuits and Systems for Video Technology,32(6),3810 - 3824.
MLA Wei Jianze,et al."Cross-spectral iris recognition by learning device-specific band".IEEE Transactions on Circuits and Systems for Video Technology 32.6(2022):3810 - 3824.
Files in This Item: Download All
File Name/Size DocType Version Access License
tcsvt_cross_wei2022.(7018KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wei Jianze]'s Articles
[Wang Yunlong]'s Articles
[Li Yi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wei Jianze]'s Articles
[Wang Yunlong]'s Articles
[Li Yi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wei Jianze]'s Articles
[Wang Yunlong]'s Articles
[Li Yi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: tcsvt_cross_wei2022.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.