A survey of image registration techniques
ACM Computing Surveys (CSUR)
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns
International Journal of Computer Vision
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subpixel Image Registration by Estimating the Polyphase Decomposition of Cross Power Spectrum
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
A Bayesian Approach to Deformed Pattern Matching of Iris Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison and combination of iris matchers for reliable personal authentication
Pattern Recognition
Efficient method of person authentication based on fusion of best bits in left and right irises
International Journal of Biometrics
Phase correlation based image alignment with subpixel accuracy
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Feature-domain super-resolution for iris recognition
Computer Vision and Image Understanding
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Iris recognition is one of the most reliable personal identification methods. In iris recognition systems, image registration is an important component. Accurately registering iris images leads to higher recognition rate for an iris recognition system. This paper proposes a phase correlation based method for iris image registration with sub-pixel accuracy. Compared with existing methods, it is insensitive to image intensity and can compensate to a certain extent the non-linear iris deformation caused by pupil movement. Experimental results show that the proposed algorithm has an encouraging performance.