Cross-spectral iris recognition by learning device-specific band
文献类型:期刊论文
作者 | Wei Jianze1,3; Wang Yunlong1; Li Yi2; He Ran1; Sun Zhenan1 |
刊名 | IEEE Transactions on Circuits and Systems for Video Technology |
出版日期 | 2022-06 |
卷号 | 32期号:6页码:3810 - 3824 |
关键词 | iris recognition device-specific band cross- spectral recognition adversarial strategy |
英文摘要 | 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. |
语种 | 英语 |
源URL | [http://ir.ia.ac.cn/handle/173211/48621] |
专题 | 自动化研究所_智能感知与计算研究中心 |
通讯作者 | Sun Zhenan |
作者单位 | 1.Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.Shool of Artificial Intelligence, Dalian University of Technology 3.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 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. |
入库方式: OAI收割
来源:自动化研究所
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。