An improving model watermarking with iris biometric code
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Iris quality assessment and bi-orthogonal wavelet based encoding for recognition
Pattern Recognition
A novel biorthogonal wavelet network system for off-angle iris recognition
Pattern Recognition
Iris recognition using discrete sine transform and neural network
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Fast and iterative algorithm for iris detection with orthogonal polynomials transform
Proceedings of the 2011 International Conference on Communication, Computing & Security
Iris biometrics for embedded systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A simple boundary extraction technique for irregular pupil localization with orthogonal polynomials
Computer Vision and Image Understanding
An iris segmentation procedure for iris recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
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We present results for an active contour that finds the pupil-iris border in slit lamp images of the eye. Preprocessing involves producing a variance image from the original image and then locating the annulus, of a given size, which has the lowest mean variance. The center of this annulus falls inside the pupil, giving a starting position for a discrete circular active contour (DCAC). The DCAC is moved under the influence of two forces-external and internal. The external force is based on the gray-scales immediately inside and outside of the contour, at each vertex, in both the original and variance images and pushes the vertices inwards. The internal force acts to move the contour towards a perfect polygon, 脝 larger than the current polygon. Repeated trials with decreasing values of 脝 are performed until equilibrium is reached between the two forces and the pupil/iris border has been found.