Template Protection for PCA-LDA-based 3D Face Recognition Systems
نویسنده
چکیده
Authentication based on biometrics became significantly important over the last years. Privacy and security concerns arise by the extensive deployment of biometrics. 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 template 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.
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تاریخ انتشار 2008