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Palmprint based multidimensional fuzzy vault scheme.
Liu, Hailun; Sun, Dongmei; Xiong, Ke; Qiu, Zhengding.
Affiliation
  • Liu H; School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.
  • Sun D; School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.
  • Xiong K; School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China.
  • Qiu Z; School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.
ScientificWorldJournal ; 2014: 819031, 2014.
Article in En | MEDLINE | ID: mdl-24892094
Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Fuzzy Logic Limits: Humans Language: En Journal: ScientificWorldJournal Year: 2014 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Fuzzy Logic Limits: Humans Language: En Journal: ScientificWorldJournal Year: 2014 Document type: Article