The fuzzy vault is one of the most popular biometric encryption schemes for protecting fingerprint data. However, its implementation faces twochallenges: First, the fingerprints need to be aligned. Some publications have proposed the storage of auxiliary data to assist alignment, butthese data may leak information about the biometric features. Secondly,t he fuzzy vault is susceptible to attacks that correlate the data from twop rotected templates, which does not only violate the requirement of

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... nlinkability butalso allows the recovery of the biometric data. In this work, we present af uzzy vault construction for fingerprint data (minutiae) that addresses both issues. We do so by applying an absolute alignment method to the fingerprints, performing a quantization of the minutiae positions to ag rid, and using all grid points unoccupied by minutiae as chaff. This approach results in all vaults containing the same set of points. In order to improve recognition performance, we also use the minutiae'sa ngles and types. We present experimental evaluations and compare the results with the existing works on fuzzy fingerprint vault.