Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
Robust and accurate iris segmentation in very noisy iris images
Image and Vision Computing
Fast Iris Segmentation by Rotation Average Analysis of Intensity-Inversed Image
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Flexible image segmentation and quality assessment for real-time iris recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Iris segmentation in non-ideal images using graph cuts
Image and Vision Computing
Multi-stage visible wavelength and near infrared iris segmentation framework
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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Iris localization is a critical module in iris recognition because it defines the inner and outer boundaries of iris region used for feature analysis. State-of-the-art iris localization methods need to implement a bruteforce search of the large parameter space, which is time-consuming and sensitive to noises. This paper proposes a novel iris localization method based on a spring force-driven iteration scheme. First, the coarse localization of pupil is obtained by an AdaBoost-based iris detection method. Then the radial edge points are detected in polar coordinate, which contribute a force on the circle center based on Hooke's law. Finally the center and radius of pupil and iris are refined according to the composition of forces from all points. After 3-4 iterations, the precise location of iris could be found. Experimental results show that our method is faster and more accurate than state-of-the-art iris localization methods.