Noncooperative Iris Segmentation
In noncooperative iris recognition one should deal with uncontrolled behavior of the subject as well as uncontrolled lighting conditions. That means eyelids and eyelashes occlusion, non uniform intensities, reflections, imperfect focus, and orientation among the others are to be considered. To cope with this situation a noncooperative iris segmentation algorithm based on numerically stable direct least squares fitting of ellipses model and modified Chan-Vese model (local binary fitting energy) with variational level set formulation is to be proposed. The proposed algorithm is tested using CASIA-IrisV3.
Keywords: Noncooperative Iris Segmentation, Active Contour Model, Modified Chan-Vese Model, Variational Level Set Formulation.
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ABOUT THE AUTHORS
Elsayed Mostafa
Faculty of engineering in Helwan, Helwan university Cairo, Egypt
Maher Mansour
Faculty of engineering in Helwan, Helwan university Cairo, Egypt
Heba Saad
Shorouk academy Cairo, Egypt
Elsayed Mostafa
Faculty of engineering in Helwan, Helwan university Cairo, Egypt
Maher Mansour
Faculty of engineering in Helwan, Helwan university Cairo, Egypt
Heba Saad
Shorouk academy Cairo, Egypt
