The ND-IRIS-0405 Iris Image Dataset
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Abstract (arXiv)
The Computer Vision Research Lab at the University of Notre Dame began collecting iris images in the spring semester of 2004. The initial data collections used an LG 2200 iris imaging system for image acquisition. Image datasets acquired in 2004-2005 at Notre Dame with this LG 2200 have been used in the ICE 2005 and ICE 2006 iris biometric evaluations. The ICE 2005 iris image dataset has been distributed to over 100 research groups around the world. The purpose of this document is to describe the content of the ND-IRIS-0405 iris image dataset. This dataset is a superset of the iris image datasets used in ICE 2005 and ICE 2006. The ND 2004-2005 iris image dataset contains 64,980 images corresponding to 356 unique subjects, and 712 unique irises. The age range of the subjects is 18 to 75 years old. 158 of the subjects are female, and 198 are male. 250 of the subjects are Caucasian, 82 are Asian, and 24 are other ethnicities.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jun 2016.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 1.
6 papers.
- 2024Iris-SAM: Iris Segmentation Using a Foundation Modelcited by 8
- 2021EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Imagescited by 3
- 2022Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognitioncited by 0
- 2022Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Modelscited by 0
- 2023CASIA-Iris-Africa: A Large-scale African Iris Image Databasecited by 0
- 2023Ethnicity and Biometric Uniqueness: Iris Pattern Individuality in a West African Databasecited by 0
- 2024Iris-SAM: Iris Segmentation Using a Foundation Model9 Feb 2024
- 2023Ethnicity and Biometric Uniqueness: Iris Pattern Individuality in a West African Database12 Sep 2023
- 2023CASIA-Iris-Africa: A Large-scale African Iris Image Database25 Feb 2023
- 2022Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models22 Sep 2022
- 2022Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition15 Feb 2022
- 2021EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images22 Dec 2021