IrisGuard: Image Forgery Detection for Iris Anti-spoofing | |
Zhuo, Wenqi1,2; Wang, Wei2; Zhang, Hui3; Dong, Jing2 | |
2022-11-03 | |
会议名称 | 16th Chinese Conference on Biometric Recognition (CCBR2022) |
卷号 | 13628 |
页码 | 602–612 |
会议日期 | 2022.12.11-2022.12.13 |
会议地点 | Beijing |
摘要 | With the development of generative models, new types of fake iris have emerged. Distinguished from traditional spoofing means caused by cosmetic contact lenses, such iris images are realistic and easily accessible, which poses a threat to privacy protection and information security. In this paper, we are the first to study iris forgery detection method that can simultaneously defend against contact lenses based or GAN-generated spoofing attacks. Through multi-model ensemble, we design a simple but effective detection framework. The backbone part of our method consists of three CNN networks, including ResNet-18, EfficientNet-B0 and ConvNeXt-tiny. We conduct experiments on three public iris datasets and a great deal of StyleGAN-generated iris images which are collected by ourselves. The proposed method has been proved to be effective on the detection of various iris forgeries, and it has the state-of-the-art performances. |
关键词 | iris anti-spoofing image forgery detection privacy protection |
DOI | DOI: 10.1007/978-3-031-20233-9_61 |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 生物特征识别 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51850 |
专题 | 模式识别实验室 |
通讯作者 | Wang, Wei |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.CRIPAC & NLPR, Institute of Automation, Chinese Academy of Sciences 3.Beijing IrisKing Co., Ltd. |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zhuo, Wenqi,Wang, Wei,Zhang, Hui,et al. IrisGuard: Image Forgery Detection for Iris Anti-spoofing[C],2022:602–612. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
978-3-031-20233-9_61(1043KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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