Human iris segmentation on videos obtained via natural lighting from smartphones

Abstract

The use of human iris images is considered one of the safest ways to provide biometrical recognition. On iris images obtained with natural lighting, the presence of reflection in its surface difficult the process of segmentation and extraction of the patterns present in its texture. This present work has as objective studying and applying techniques for segmentation of the iris region on videos of human eyes obtained via natural lighting. To do this, methods focusing on improving the location of the internal and external iris contour were used in images obtained on these conditions. Some procedures were also made to the removal of present noise over the iris region, such as eyelids and reflections. The results showed that the search of the internal iris region via estimation of its shape provided high matching rates on the segmentation of this region on the video analysis.

Publication
In Proceedings of 10th Brazilian Workshop on Computer Vision (WVC)
Fabrizzio Soares
Fabrizzio Soares
Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.

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