The Relation between the ROC Curve and the CMC
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Iris recognition based on multialgorithmic fusion
WSEAS Transactions on Information Science and Applications
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Accurate and Fast Iris Segmentation for Iris Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition
Image and Vision Computing
Reliable algorithm for iris segmentation in eye image
Image and Vision Computing
A knowledge-based approach to the iris segmentation problem
Image and Vision Computing
A new iris segmentation method for non-ideal iris images
Image and Vision Computing
A highly accurate and computationally efficient approach for unconstrained iris segmentation
Image and Vision Computing
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
AI challenges in iris recognition. processing tools for bath iris image database
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
Personal Identification from Iris Images Using Localized Radon Transform
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Analysis of 2D log-Gabor Filters to Encode Iris Patterns
ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Improvement to libor masek algorithm of template matching method for iris recognition
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Iris recognition with support vector machines
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
UBIRIS: a noisy iris image database
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Noisy iris image matching by using multiple cues
Pattern Recognition Letters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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Iris recognition is a promising method by which to accurately identify a person. During the iris recognition stage, the features of the iris are extracted, including the unique, individual texture of the iris. The ability to extract the texture of the iris in non-cooperative environments from eye images captured at different distances, containing reflections, and under visible wavelength illumination will lead to increased iris recognition performance. A method that combined multiscale sparse representation of local Radon transform was proposed to down sample a normalized iris into different lengths of scales and different orientations of angles to form an iris feature vector. This research was tested using 1000 eye images from the UBIRIS.v2 database. The results showed that the proposed method performed better than existing methods when dealing with iris images captured at different distances.