Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Gabor wavelets for statistical pattern recognition
The handbook of brain theory and neural networks
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Phase correlation based iris image registration model
Journal of Computer Science and Technology
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Approach to Deformed Pattern Matching of Iris Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
EURASIP Journal on Advances in Signal Processing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
An Effective Approach for Iris Recognition Using Phase-Based Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overview of the Multiple Biometrics Grand Challenge
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Image Averaging for Improved Iris Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Recent advances in face biometrics with Gabor wavelets: A review
Pattern Recognition Letters
Iris recognition using signal-level fusion of frames from video
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
IEEE Transactions on Image Processing
Image super-resolution via sparse representation
IEEE Transactions on Image Processing
Improvements in video-based automated system for iris recognition (VASIR)
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Enhancing iris recognition system performance using templates fusion
ISSPIT '10 Proceedings of the The 10th IEEE International Symposium on Signal Processing and Information Technology
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
IEEE Transactions on Image Processing
Eigenface-domain super-resolution for face recognition
IEEE Transactions on Image Processing
Generalized Face Super-Resolution
IEEE Transactions on Image Processing
From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework
IEEE Transactions on Image Processing
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Quality-Driven Super-Resolution for Less Constrained Iris Recognition at a Distance and on the Move
IEEE Transactions on Information Forensics and Security
Super-resolved faces for improved face recognition from surveillance video
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Uncooperative iris identification systems at a distance suffer from poor resolution of the acquired iris images, which significantly degrades iris recognition performance. Super-resolution techniques have been employed to enhance the resolution of iris images and improve the recognition performance. However, most existing super-resolution approaches proposed for the iris biometric super-resolve pixel intensity values, rather than the actual features used for recognition. This paper thoroughly investigates transferring super-resolution of iris images from the intensity domain to the feature domain. By directly super-resolving only the features essential for recognition, and by incorporating domain specific information from iris models, improved recognition performance compared to pixel domain super-resolution can be achieved. A framework for applying super-resolution to nonlinear features in the feature-domain is proposed. Based on this framework, a novel feature-domain super-resolution approach for the iris biometric employing 2D Gabor phase-quadrant features is proposed. The approach is shown to outperform its pixel domain counterpart, as well as other feature domain super-resolution approaches and fusion techniques.