Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
A novel iris segmentation using radial-suppression edge detection
Signal Processing
Real-time iris segmentation based on image morphology
Proceedings of the 2011 International Conference on Communication, Computing & Security
Iris segmentation using a statistical approach
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
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In this paper a novel and robust method for automatic iris segmentation based on local areas is described. Such method is composed of three main parts. (a) Find the local rectangle region which has the minimum intensity mean and extend it to locate pupil. (b) Select two small local sector areas including the outer boundaries of iris to locate outer iris. (c) Translate the iris from polar coordinates into Cartesian coordinates and normalize it to fixed size to compensate the stretching of the iris texture as the pupil changes in size and remove the nonconcentricity of the iris and the pupil. The method was implemented using CASIA Iris image databases. The experimental results show that the proposed method has an encouraging result with an overall accuracy of 98.42%.