Cross-spectral Iris Recognition for Mobile Applications using High-quality Color Images

Mateusz Trokielewicz , Ewelina Bartuzi


With the recent shift towards mobile computing, new challenges for biometric authentication appear on the horizon. This paper provides a comprehensive study of crossspectral iris recognition in a scenario, in which high quality color images obtained with a mobile phone are used against enrollment images collected in typical, near-infrared setups. Grayscale conversion of the color images that employs selective RGB channel choice depending on the iris coloration is shown to improve the recognition accuracy for some combinations of eye colors and matching software, when compared to using the red channel only, with equal error rates driven down to as low as 2%. The authors are not aware of any other paper focusing on cross-spectral iris recognition is a scenario with near-infrared enrollment using a professional iris recognition setup and then a mobile-based verification employing color images
Author Mateusz Trokielewicz (FEIT / AK) - [Scientific and Academic Computer Network (NASK PIB)]
Mateusz Trokielewicz,,
- The Institute of Control and Computation Engineering
- Naukowa i Akademicka Sieć Komputerowa
, Ewelina Bartuzi - [Research and Academic Computer Network (NASK)]
Ewelina Bartuzi,,
- Naukowa i Akademicka Sieć Komputerowa
Journal seriesJournal of Telecommunications and Information Technology, ISSN 1509-4553, e-ISSN 1899-8852
Issue year2016
Publication size in sheets0.5
Keywords in Englishbiometrics, cross-spectral, iris recognition, mobile technologies, smartphones
ASJC Classification2208 Electrical and Electronic Engineering; 1705 Computer Networks and Communications
Languageen angielski
Score (nominal)12
Score sourcejournalList
ScoreMinisterial score = 12.0, 18-05-2020, ArticleFromJournal
Ministerial score (2013-2016) = 12.0, 18-05-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.473
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