CASIA OpenIR  > 中国科学院分子影像重点实验室
An effective biometric cryptosystem combining fingerprints with error correction codes
Li, Peng1; Yang, Xin1; Qiao, Hua2; Cao, Kai3; Liu, Eryun3; Tian, Jie1,3
Source PublicationEXPERT SYSTEMS WITH APPLICATIONS
2012-06-01
Volume39Issue:7Pages:6562-6574
SubtypeArticle
AbstractWith the emergence and popularity of identity verification means by biometrics, the biometric system which can assure security and privacy has received more and more concentration from both the research and industry communities. In the field of secure biometric authentication, one branch is to combine the biometrics and cryptography. Among all the solutions in this branch, fuzzy commitment scheme is a pioneer and effective security primitive. In this paper, we propose a novel binary length-fixed feature generation method of fingerprint. The alignment procedure, which is thought as a difficult task in the encrypted domain, is avoided in the proposed method due to the employment of minutiae triplets. Using the generated binary feature as input and based on fuzzy commitment scheme, we construct the biometric cryptosystems by combining various of error correction codes, including BCH code, a concatenated code of BCH code and Reed-Solomon code, and LDPC code. Experiments conducted on three fingerprint databases, including one in-house and two public domain, demonstrate that the proposed binary feature generation method is effective and promising, and the biometric cryptosystem constructed by the feature outperforms most of the existing biometric cryptosystems in terms of ZeroFAR and security strength. For instance, in the whole FVC2002 DB2, a 4.58% ZeroFAR is achieved by the proposed biometric cryptosystem with the security strength 48 bits. (C) 2011 Elsevier Ltd. All rights reserved.
KeywordMinutia Triplet Binary Length-fixed Feature Biometric Cryptosystem Fuzzy Commitment Scheme Ecc Security
WOS HeadingsScience & Technology ; Technology
WOS KeywordFUZZY VAULT ; TEMPLATES ; SECURE
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Operations Research & Management Science
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS IDWOS:000301025300030
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4055
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Peking Univ, Satellite & Wireless Commun Lab, Beijing 100871, Peoples R China
3.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li, Peng,Yang, Xin,Qiao, Hua,et al. An effective biometric cryptosystem combining fingerprints with error correction codes[J]. EXPERT SYSTEMS WITH APPLICATIONS,2012,39(7):6562-6574.
APA Li, Peng,Yang, Xin,Qiao, Hua,Cao, Kai,Liu, Eryun,&Tian, Jie.(2012).An effective biometric cryptosystem combining fingerprints with error correction codes.EXPERT SYSTEMS WITH APPLICATIONS,39(7),6562-6574.
MLA Li, Peng,et al."An effective biometric cryptosystem combining fingerprints with error correction codes".EXPERT SYSTEMS WITH APPLICATIONS 39.7(2012):6562-6574.
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