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.
This work has been partially supported by the Austrian Science Fund, project no. L554-N15.
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Hämmerle-Uhl, J., Pschernig, E., Uhl, A. (2009). Cancelable Iris Biometrics Using Block Re-mapping and Image Warping. In: Samarati, P., Yung, M., Martinelli, F., Ardagna, C.A. (eds) Information Security. ISC 2009. Lecture Notes in Computer Science, vol 5735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04474-8_11
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DOI: https://doi.org/10.1007/978-3-642-04474-8_11
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