Procedural elements for computer graphics
Procedural elements for computer graphics
Robust Eye Centre Extraction Using the Hough Transform
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Experiments with an Improved Iris Segmentation Algorithm
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
A Fast and Robust Iris Segmentation Method
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
A New Method for Iris Recognition Systems Based on Fast Pupil Localization
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Iris Localization Scheme Based on Morphology and Gaussian Filtering
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Toward Accurate and Fast Iris Segmentation for Iris Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Unideal Iris Images Using Game Theory
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Circular shortest path as a method of detection and refinement of iris borders in eye image
Journal of Computer and Systems Sciences International
A fast adaboosting based method for iris and pupil contour detection
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
UBIRIS: a noisy iris image database
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
An iterative algorithm for fast iris detection
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
IEEE Transactions on Circuits and Systems for Video Technology
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An algorithm of approximate location of iris center in image is presented. It is based on Hough transformation for circles. Problem is set in a way to detect only iris center position without evaluating its size. Such formulation allows to reduce the dimension of parameter space compared to commonly used approaches that detect center position and radius simultaneously. Apart, omitting radius estimation gives an opportunity to use points of both pupil and iris circles in Hough transform, increasing the stability of method especially for images with poor pupil contour quality. The algorithm was tested for more than 95000 iris images from public domain databases.