An orthogonal polynomials based framework for edge detection in 2-D monochrome images
Pattern Recognition Letters
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Location of the Pupil-Iris Border in Slit-Lamp Images of the Cornea
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Experimental Evaluation of Iris Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
A new integer image coding technique based on orthogonal polynomials
Image and Vision Computing
A highly accurate and computationally efficient approach for unconstrained iris segmentation
Image and Vision Computing
Iris segmentation using geodesic active contours
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Iris localization: detecting accurate pupil contour and localizing limbus boundary
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a novel iterative algorithm for iris localization that accurately extracts outer iris boundary and detects eyelids to compensate accuracy problem caused by the non-standard circle characteristic of the iris. The proposed method localizes the outer boundary using image gradient, generated with modified zero-crossing in the second directional derivatives from orthogonal polynomials transform coefficients. Image gradient is the external force to reposition the points present in the two semi circular rings radiating from pupil center. The semi circular rings are iteratively expanded by modifying the radius from inside toward outside to search for the abrupt gradient changes in order to find the iris contour formed by the image feature. In addition, occlusions of the iris images from eyelids are automatically excluded from the detected iris region. The experimental result shows that the proposed scheme is robust in finding exact noncircular outer boundary and outperforms both in accuracy and speed.