Multi-stage visible wavelength and near infrared iris segmentation framework

Authors:
Andreas Uhl;Peter Wild
Affiliations:
Multimedia Signal Processing and Security Lab, Department of Computer Sciences, University of Salzburg, Austria;Multimedia Signal Processing and Security Lab, Department of Computer Sciences, University of Salzburg, Austria
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Year:
2012

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Abstract

This paper presents a multi-stage iris segmentation framework for the localization of pupillary and limbic boundaries of human eyes. Instead of applying time-consuming exhaustive search approaches, like traditional circular Hough Transform or Daugman's integrodifferential operator, an iterative approach is used. By decoupling coarse center detection and fine boundary localization, faster processing and modular design can be achieved. This alleviates more sophisticated quality control and feedback during the segmentation process. By avoiding database-specific optimizations, this work aims at supporting different sensors and light spectra, i.e. Visible Wavelength and Near Infrared, without parameter tuning. The system is evaluated by using multiple open iris databases and it is compared to existing classical approaches.