A Large-scale Database for Less Cooperative Iris Recognition | |
Junxing Hu1,2![]() ![]() ![]() | |
2021-08-04 | |
会议名称 | 2021 IEEE International Joint Conference on Biometrics (IJCB) |
会议日期 | Aug. 4-7, 2021 |
会议地点 | Shenzhen, China |
摘要 | Since the outbreak of the COVID-19 pandemic, iris recognition has been used increasingly as contactless and unaffected by face masks. Although less user cooperation is an urgent demand for existing systems, corresponding manually annotated databases could hardly be obtained. This paper presents a large-scale database of near-infrared iris images named CASIA-Iris-Degradation Version 1.0 (DV1), which consists of 15 subsets of various degraded images, simulating less cooperative situations such as illumination, off-angle, occlusion, and nonideal eye state. A lot of open-source segmentation and recognition methods are compared comprehensively on the DV1 using multiple evaluations, and the best among them are exploited to conduct ablation studies on each subset. Experimental results show that even the best deep learning frameworks are not robust enough on the database, and further improvements are recommended for challenging factors such as half-open eyes, off-angle, and pupil dilation. Therefore, we publish the DV1 with manual annotations online to promote iris recognition. (http://www.cripacsir.cn/dataset/) |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 是 |
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 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56693 |
专题 | 模式识别实验室 |
通讯作者 | Zhenan Sun |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences 3.University of Science and Technology of China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Junxing Hu,Leyuan Wang,Zhengquan Luo,et al. A Large-scale Database for Less Cooperative Iris Recognition[C],2021. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
7-3-IJCB.pdf(2460KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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