Paper
11 September 2015 Exploring the feasibility of iris recognition for visible spectrum iris images obtained using smartphone camera
Mateusz Trokielewicz, Ewelina Bartuzi, Katarzyna Michowska, Antonina Andrzejewska, Monika Selegrat
Author Affiliations +
Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96622C (2015) https://doi.org/10.1117/12.2205913
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland
Abstract
In the age of modern, hyperconnected society that increasingly relies on mobile devices and solutions, implementing a reliable and accurate biometric system employing iris recognition presents new challenges. Typical biometric systems employing iris analysis require expensive and complicated hardware. We therefore explore an alternative way using visible spectrum iris imaging.

This paper aims at answering several questions related to applying iris biometrics for images obtained in the visible spectrum using smartphone camera. Can irides be successfully and effortlessly imaged using a smartphone's built-in camera? Can existing iris recognition methods perform well when presented with such images? The main advantage of using near-infrared (NIR) illumination in dedicated iris recognition cameras is good performance almost independent of the iris color and pigmentation. Are the images obtained from smartphone's camera of sufficient quality even for the dark irides?

We present experiments incorporating simple image preprocessing to find the best visibility of iris texture, followed by a performance study to assess whether iris recognition methods originally aimed at NIR iris images perform well with visible light images. To our best knowledge this is the first comprehensive analysis of iris recognition performance using a database of high-quality images collected in visible light using the smartphones flashlight together with the application of commercial off-the-shelf (COTS) iris recognition methods.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mateusz Trokielewicz, Ewelina Bartuzi, Katarzyna Michowska, Antonina Andrzejewska, and Monika Selegrat "Exploring the feasibility of iris recognition for visible spectrum iris images obtained using smartphone camera", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96622C (11 September 2015); https://doi.org/10.1117/12.2205913
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CITATIONS
Cited by 8 scholarly publications and 2 patents.
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KEYWORDS
Iris recognition

Cameras

Image segmentation

Visible radiation

Biometrics

Databases

Mobile devices

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