Penn, Georg M.Pötzelsberger, GerhardRohde, MartinUhl, AndreasBrömme, ArslanBusch, Christoph2017-07-262017-07-262014978-3-88579-624-4Computing the Hamming weight between binary biometric feature vectors in a homomorphic encryption domain can be rather inefficient due to the required bitwise encryption. A biometric matching technique more efficient than the Goldwasser- Micali approach is proposed based on exploiting Paillier's capability of encrypting messages larger than one bit at a time. The efficiency is documented in an iris identification context.enCustomisation of paillier homomorphic encryption for efficient binary biometric feature vector matchingText/Conference Paper1617-5468