Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-color Space
Künye
SAHMOUD, Shaaban & Hale N. FATHEE. "Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-color Space". ACIVS 2020 - International Conference on Advanced Concepts for Intelligent Vision Systems, 12002 (2020): 239-250.Özet
Iris recognition for eye images acquired in visible wavelength
is receiving increasing attention. In visible wavelength environments,
there are many factors that may cover or affect the iris region which
makes the iris segmentation step more difficult and challenging. In this
paper, we propose a novel and fast segmentation algorithm to deal with
eye images acquired in visible wavelength environments by considering
the color information form multiple color spaces. The various existing
color spaces such as RGB, YCbCr, and HSV are analyzed and an appropriate
set of color models is selected for the segmentation process. To
accurately localize the iris region, a set of convenient techniques are
applied to detect and remove the non-iris regions such as pupil, specular
reflection, eyelids, and eyelashes. Our experimental results and comparative
analysis using the UBIRIS v2 database demonstrate the efficiency
of our approach in terms of segmentation accuracy and execution time.
Kaynak
ACIVS 2020 - International Conference on Advanced Concepts for Intelligent Vision SystemsCilt
12002Bağlantı
https://hdl.handle.net/11352/3536Koleksiyonlar
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