A Novel Privacy Enhancing Algorithm for Biometric System.
作者： Xuebing Zhou , Christoph Busch
DOI:
关键词: Focus (computing) 、 Identity fraud 、 Authentication 、 Cross matching 、 Computer science 、 Computer security 、 Biometric system 、 Algorithm 、 Application areas 、 Facial recognition system 、 Biometrics
摘要: Biometrics provide the possibility of unique and convenient authentication. As its application areas grow rapidly, problems, such as identity fraud cross matching, threaten security biometric systems. Moreover, privacy concerns are associated with biometrics. In this paper we focus on enhancing techniques for systems, which can protect information enable using biometrics without exposure privacy. A novel algorithm is proposed. The integrated in a 3D face recognition tested FRGC database. By proposed algorithm, high be achieved well good verification performance.
3dface.org
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