Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris Localization via Pulling and Pushing
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Key Techniques and Methods for Imaging Iris in Focus
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Real-Time Image Restoration for Iris Recognition Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
A contrario detection of false matches in iris recognition
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
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The human iris has proved to be one of the most reliable biometric features for the identification of individuals. Realtime iris recognition requires high quality images that provide enough details about the iris texture and algorithms to analyze and process the images at the highest possible speed. In this work, an extension to the classical circular model for the pupil and iris using flexible contours is provided. Then, a method for assessing the quality of the iris images in real-time based on the segmentation results is introduced. Experimental results are presented, and we conclude that the new methods improve the recognition rate, achieving a 100% correct recognition rate on the CASIA iris database, while being suitable for a real-time iris recognition camera system.