Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Iris Recognition in Nonideal Situations
ISC '09 Proceedings of the 12th International Conference on Information Security
A new phase-correlation-based iris matching for degraded images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
A novel biorthogonal wavelet network system for off-angle iris recognition
Pattern Recognition
Nonideal Iris Recognition Using Level Set Approach and Coalitional Game Theory
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
A new unconstrained iris image analysis and segmentation method in biometrics
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Iris recognition using signal-level fusion of frames from video
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
A computational efficient Iris extraction approach in unconstrained environments
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Estimating and fusing quality factors for iris biometric images
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Iris segmentation in non-ideal images using graph cuts
Image and Vision Computing
Robust iris verification based on local and global variations
EURASIP Journal on Advances in Signal Processing
Scale invariant gabor descriptor-based noncooperative iris recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Engineering Applications of Artificial Intelligence
Partial iris and recognition as a viable biometric scheme
International Journal of Security and Networks
Unideal iris segmentation using region-based active contour model
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Multi-stage visible wavelength and near infrared iris segmentation framework
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Multispectral scleral patterns for ocular biometric recognition
Pattern Recognition Letters
Speed-up multi-stage non-cooperative iris recognition
International Journal of Biometrics
Efficient iris segmentation method in unconstrained environments
Pattern Recognition
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The popularity of the iris biometric has grown considerably over the past two to three years. Most research has been focused on the development of new iris processing and recognition algorithms for frontal view iris images. However, a few challenging directions in iris research have been identified, including processing of a nonideal iris and iris at a distance. In this paper, we describe two nonideal iris recognition systems and analyze their performance. The word ldquononidealrdquo is used in the sense of compensating for off-angle occluded iris images. The system is designed to process nonideal iris images in two steps: 1) compensation for off-angle gaze direction and 2) processing and encoding of the rotated iris image. Two approaches are presented to account for angular variations in the iris images. In the first approach, we use Daugman's integrodifferential operator as an objective function to estimate the gaze direction. After the angle is estimated, the off-angle iris image undergoes geometric transformations involving the estimated angle and is further processed as if it were a frontal view image. The encoding technique developed for a frontal image is based on the application of the global independent component analysis. The second approach uses an angular deformation calibration model. The angular deformations are modeled, and calibration parameters are calculated. The proposed method consists of a closed-form solution, followed by an iterative optimization procedure. The images are projected on the plane closest to the base calibrated plane. Biorthogonal wavelets are used for encoding to perform iris recognition. We use a special dataset of the off-angle iris images to quantify the performance of the designed systems. A series of receiver operating characteristics demonstrate various effects on the performance of the nonideal-iris-based recognition system.