Phase Correlation Based Iris Registration Model [Return]

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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.

 

Papers:

Junzhou Huang, Tieniu Tan, Li Ma, Yunhong Wang, ”Phase Correlation Based Iris Image Registration Model”,

Journal of Computer Science and Technology, Vol. 20, No. 2, pp. 419-425, March 2005.

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