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Contextual Measures for Iris Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 57-70
作者:  Wei, Jianze;  Wang, Yunlong;  Huang, Huaibo;  He, Ran;  Sun, Zhenan;  Gao, Xingyu
Adobe PDF(2731Kb)  |  收藏  |  浏览/下载：283/65  |  提交时间：2023/02/22
Iris recognition  contextual aggregation  visual transformer  information bottleneck  
Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 期号: 1, 页码: 2944-2959
作者:  Wang, Caiyong;  Muhammad, Jawad;  Wang, Yunlong;  He, Zhaofeng;  Sun, Zhenan
浏览  |  Adobe PDF(8655Kb)  |  收藏  |  浏览/下载：519/220  |  提交时间：2020/06/02
Iris segmentation  iris localization  attention mechanism  multi-task learning  iris recognition  
Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 卷号: 13, 期号: 11, 页码: 2772-2787
作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(8950Kb)  |  收藏  |  浏览/下载：473/149  |  提交时间：2018/10/01
Image forensics  natural image  computer-generated image  convolutional neural network  robustness  local-to-global strategy  visualization  
A Code-Level Approach to Heterogeneous Iris Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2017, 卷号: 12, 期号: 10, 页码: 2373-2386
作者:  Liu, Nianfeng;  Liu, Jing;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(6119Kb)  |  收藏  |  浏览/下载：502/180  |  提交时间：2017/06/16
Iris Recognition  Heterogeneous  Cross-sensor  Markov  
Adaptive Orientation Model Fitting for Latent Overlapped Fingerprints Separation 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2014, 卷号: 9, 期号: 10, 页码: 1547-1556
作者:  Zhang, Ning;  Zang, Yali;  Yang, Xin;  Jia, Xiaofei;  Tian, Jie
Adobe PDF(8950Kb)  |  收藏  |  浏览/下载：321/77  |  提交时间：2015/08/12
Overlapped Fingerprints  Orientation Field Model  Fingerprint Separation  Iterative Correction