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UTIRIS Image Repository

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University of Tehran IRIS (UTIRIS) image repository is the first iris biometric databank registered in two distinct sessions of Visible Wavelength (VW) and Near InfraRed (NIR) imaging during 24-27th of June 2007. The database is constructed with 1540 images from 79 individuals from both right and left eyes demonstrated in 158 classes in total. The individuals are numbered the same in NIR and VW sessions. The Database is a copyright of Control and Intelligent Processing Centre of Excellence (CIPCE) at School of Electrical and Computer Engineering (ECE) in the University of Tehran.

Database Configuration

Visible Wavelength NIR Wavelength
Image Dimension (Number of Pixels) 2048 x 1360 1000 x 776
Compression Format JPEG BMP
Camera Device Canon EOS 10D ISG Lightwise LW
Color Space RGB Gray
Color Profile sRGB IEC61966-2.1
Focal Length 100
Alpha Channel No
Red Eye Yes
F number 2.8
Exposure time 1/60

Download Database

UTIRIS is compressed in “.zip” format and can be downloaded here



The description and preliminary results of UTIRIS analysis is outlined in:

[J] Mahdi S. Hosseini, Babak N. Araabi and H. Soltanian-Zadeh,”Pigment Melanin: Pattern for Iris Recognition,” IEEE Transactions on Instrumentation and Measurement, vol.59, no.4, pp.792-804, April 2010.

When referencing UTIRIS database, please cite the following:

author={Hosseini, M.S. and Araabi, B.N. and Soltanian-Zadeh, H.},
journal={Instrumentation and Measurement, IEEE Transactions on},
title={Pigment Melanin: Pattern for Iris Recognition},
pages={792 -804},


  1. Sven says:

    Hi, I found that quite a few images are not labelled consistently (as L/R) compared to the rest – is there an updated, corrected version of this very useful DB available?

    • smhossei says:

      Hi Sven,

      Thanks for bringing this issue to my review. This is how the original data is taken. As you see there are some times more than 5 pictures per eye or less and unfortunately we do not have the matching pictures.

      Thank you,

      Mahdi S. Hosseini

  2. vortigaunt says:

    Hi! You are was published very good dataset for iridology learners. Thank you, and let’s Hafez poetry is singing in your ears! =^.^=

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