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A Large-scale Database for Less Cooperative Iris Recognition
Junxing Hu1,2; Leyuan Wang1,2; Zhengquan Luo2,3; Yunlong Wang2; Zhenan Sun2
2021-08-04
Conference Name2021 IEEE International Joint Conference on Biometrics (IJCB)
Conference DateAug. 4-7, 2021
Conference PlaceShenzhen, China
Abstract

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/)

Indexed ByEI
Language英语
IS Representative Paper
Sub direction classification生物特征识别
planning direction of the national heavy laboratory视觉信息处理
Paper associated data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56693
Collection模式识别实验室
Corresponding AuthorZhenan Sun
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Junxing Hu,Leyuan Wang,Zhengquan Luo,et al. A Large-scale Database for Less Cooperative Iris Recognition[C],2021.
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