Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
A learning style classification mechanism for e-learning
Computers & Education
Iris image segmentation and sub-optimal images
Image and Vision Computing
Application of evolutionary algorithms for iris localization
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Noise detection of iris image based on texture analysis
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Parallelizing iris recognition
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Iris segmentation using geodesic active contours
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Accurate iris boundary detection in iris-based biometric authentication process
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Robust person identification system using iris
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Iris segmentation in non-ideal images using graph cuts
Image and Vision Computing
Iris recognition based on elastic graph matching and Gabor wavelets
Computer Vision and Image Understanding
Optimal sampling for feature extraction in iris recognition systems
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
An efficient iris segmentation method for recognition
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
A novel iris segmentation method for hand-held capture device
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
An application of random and hammersley sampling methods to iris recognition
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Feature characterization in iris recognition with stochastic autoregressive models
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
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
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As the first stage, iris segmentation is very important for an iris recognition system. If the iris regions were not correctly segmented, there would possibly exist four kinds of noises in segmented iris regions: eyelashes, eyelids, reflections and pupil, which will result in poor recognition performance. This paper proposes a new noise-removing approach based on the fusion of edge and region information. The whole procedure includes three steps: 1) rough localization and normalization, 2) edge information extraction based on phase congruency, and 3) the infusion of edge and region information. Experimental results on a set of 2,096 images show that the proposed method has encouraging performance for improving the recognition accuracy.