Sectored Random Projections for Cancelable Iris Biometrics

Privacy and security are essential requirements in practical biometric systems. In order to prevent the theft of biometric patterns, it is desired to modify them through revocable and non invertible transformations called Cancelable Biometrics. This paper proposes an efficient algorithm for generating a Cancelable Iris Biometric based on Sectored Random Projections. The algorithm can generate a new pattern if the existing one is stolen, retain the original recognition performance and prevent extraction of useful information from the transformed patterns.