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With recent advances in biometric recognition and the increasing use of biometric data in various applications, it is apparent that sensitive biometric data needs to be adequately protected. Biometric images might need to be compared to biometric collections gathered by external entities, where due to privacy considerations neither party is willing to share its data. This gives rise to the need to develop secure computation techniques over biometric data where no information is revealed to the parties except the desired outcome of the comparison or search. In this work the authors develop and implement the first privacy-preserving identification protocols for iris codes and fingerprints that use standard minutiae-based representation.
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