Hartung, DanielBrömme, ArslanBusch, ChristophHühnlein, Detlef2019-04-032019-04-032008978-3-88579-231-4https://dl.gi.de/handle/20.500.12116/21198Authentication based on biometrics became significantly important over the last years. Privacy and security concerns arise by the extensive deployment of bio- metrics. The used biometric features itself have to be secured. We propose a security mechanism that solves privacy related problems in 3D facial verification systems. Our solution combines PCA/LDA feature extraction with the Helper Data Scheme for tem- plate protection. The evaluation shows recognition rates at the same level for secured and unsecured templates, which leads to a win-win scenario for users and providers of the adapted systems.enText/Conference Paper1617-5468