In this work we present a multibiometric face recognition framework based on combining information from 2D with 3D
facial features. The 3D biometrics channel is protected by a privacy enhancing technology, which uses error correcting
codes and cryptographic primitives to safeguard the privacy of the users of the biometric system at the same time
enabling accurate matching through fusion with 2D. Experiments are conducted to compare the matching performance of
such multibiometric systems with the individual biometric channels working alone and with unprotected multibiometric
systems. The results show that the proposed hybrid system incorporating template protection, match and in some cases
exceed the performance of corresponding unprotected equivalents, in addition to offering the additional privacy
protection.
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