title: A hybrid approach to protect palmprint templates.
abstract: Biometric template protection is indispensable to protect personal privacy in large-scale deployment of biometric systems. Accuracy, changeability, and security are three critical requirements for template protection algorithms. However, existing template protection algorithms cannot satisfy all these requirements well. In this paper, we propose a hybrid approach that combines random projection and fuzzy vault to improve the performances at these three points. Heterogeneous space is designed for combining random projection and fuzzy vault properly in the hybrid scheme. New chaff point generation method is also proposed to enhance the security of the heterogeneous vault. Theoretical analyses of proposed hybrid approach in terms of accuracy, changeability, and security are given in this paper. Palmprint database based experimental results well support the theoretical analyses and demonstrate the effectiveness of proposed hybrid approach.
authors: School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.
authors: Hailun
authors: 0000-0003-0343-1749
authors: H
authors: Liu
authors: School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.
authors: Dongmei
authors: D
authors: Sun
authors: School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China.
authors: Ke
authors: K
authors: Xiong
authors: School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.
authors: Zhengding
authors: Z
authors: Qiu
mesh_terms: D000465:Algorithms; D001699:Biometry; D016208:Databases, Factual; D003878:Dermatoglyphics; D018907:Privacy; D012372:ROC Curve; D015203:Reproducibility of Results