On active contour models and balloons
CVGIP: Image Understanding
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Technical Report - Randomized Hough Transform: Improved Ellipse Detection with Comparison
Technical Report - Randomized Hough Transform: Improved Ellipse Detection with Comparison
An Effective Approach for Iris Recognition Using Phase-Based Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris segmentation using geodesic active contours
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
On a methodology for robust segmentation of nonideal iris images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improvements in video-based automated system for iris recognition (VASIR)
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Engineering Applications of Artificial Intelligence
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Image Processing
Efficient energies and algorithms for parametric snakes
IEEE Transactions on Image Processing
Non-Orthogonal View Iris Recognition System
IEEE Transactions on Circuits and Systems for Video Technology
Real Time Iris Segmentation on FPGA
ASAP '12 Proceedings of the 2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors
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Having an accurate parametric description of the iris borders is a critical issue for iris recognition systems based on Daugman's rubber sheet normalization. Many methods in the literature use very powerful and effective schemes for iris segmentation but often apply a simple estimator procedure, such as the Hough Transform or Least Square Fitting to get this parametric description. Those fitting methods are very sensitive to the segmentation quality as inaccuracies will provoke large errors in the resulting contour. In this article we propose an effective way to find optimal parameters for ellipses in order to proceed the normalization. Our method is based on a variational formulation of the well-known Active Contour techniques leading to a compact formulation for elliptic contours. We show improvements compared to an Elliptic Hough Transform and a Direct Least Square Fitting on the following databases: ICE2005, ND-Iris and Casia-Lamp. We also demonstrate that our scheme can be paired effectively with different segmentation algorithms. Significant improvements of the recognition results were obtained when adding our algorithm after the segmentation stage of VASIR and OSIRIS, two open source packages for iris recognition.