A survey of iris datasets
【Abstract】
We reviewed 158 existing iris datasets and provide critical discussion
We performed bibliometric research to estimate the popularity of the identified datasets
We discuss limitations of existing datasets
We identified common properties of successful datasets and provide recommendations for collecting new datasets
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.
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【Author】
LubosOmelinaabc, JozefGogab, JarmilaPavlovičováb, MilošOravecb, BartJansenac
【Keywords】
Biometrics, Iris recognition, Iris datasets, Human iris 
【Journal】
Image and Vision Computing(IF：2.7) Time：2021-01-24
