Cancelable iris biometrics using block re-mapping and image warping

Abstract

The concept of cancelable biometrics provides a way to protect biometric templates. A possible technique to achieve such protection for iris images is to apply a repeatable, non-reversible transformation in the image domain prior to feature extraction. We applied two classical transformations, block re-mapping and texture warping, to iris textures obtained from the CASIA V3 Iris database and collected experimental results on the matching performance and key sensitivity of a popular iris recognition method. © 2009 Springer Berlin Heidelberg.