A survey of iris datasets

被引:21
|
作者
Omelina, Lubos [1 ,2 ,3 ]
Goga, Jozef [2 ]
Pavlovicova, Jarmila [2 ]
Oravec, Milos [2 ]
Jansen, Bart [1 ,3 ]
机构
[1] Vrije Univ Brussel, Dept Elect & Informat, Pleinlaan 2, B-1050 Brussels, Belgium
[2] Slovak Univ Technol Bratislava, Fac Elect Engn & Informat Technol, Ilkovicova 3, Bratislava 81219, Slovakia
[3] IMEC, Kapeldreef 75, B-3001 Leuven, Belgium
关键词
Biometrics; Iris recognition; Iris datasets; Human iris; TEXTURED CONTACT-LENSES; RECOGNITION; SEGMENTATION; BIOMETRICS; AUTHENTICATION; IMAGE;
D O I
10.1016/j.imavis.2021.104109
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Research on human eye image processing and iris recognition has grown steadily over the last few decades. It is important for researchers interested in this discipline to know the relevant datasets in this area to (i) be able to compare their results and (ii) speed up their research using existing datasets rather than creating custom datasets. In this paper, we provide a comprehensive overview of the existing publicly available datasets and their popularity in the research community using a bibliometric approach. We reviewed 158 different iris datasets referenced from the 689 most relevant research articles indexed by the Web of Science online library. We categorized the datasets and described the properties important for performing relevant research. We provide an overview of the databases per category to help investigators conducting research in the domain of iris recognition to identify relevant datasets. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:20
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