A survey of iris datasets

Lubos Omelina, Jozef Goga, Jarmila Pavlovicova, Milos Oravec, Bart Jansen

Research output: Contribution to journalArticle

4 Citations (Scopus)
121 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article number104109
Pages (from-to)1-20
Number of pages20
JournalImage and Vision Computing
Volume108
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Biometrics
  • Iris recognition
  • Iris datasets
  • Human iris

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