Transforming Rectangular and Polar Iris Images to Enable Cancelable Biometrics

To enable cancelable biometrics, we apply two classical transformations, block re-mapping and texture warping, in two variants to iris image data: first, the transformations are applied to rectangular iris imagery prior to iris detection and iris texture unwrapping, and second, the transformations are applied to polar iris images after the generation of the corresponding iris texture patch. The CASIA V3 Iris database is used and experimental results on the matching performance and key sensitivity of a popular iris recognition method employing the cancelable transforms are given.