CASIA OpenIR  > 中国科学院分子影像重点实验室
An alignment-free fingerprint cryptosystem based on fuzzy vault scheme
Li, Peng1; Yang, Xin1; Cao, Kai1; Tao, Xunqiang1; Wang, Ruifang1; Tian, Jie1,2
Source PublicationJOURNAL OF NETWORK AND COMPUTER APPLICATIONS
2010-05-01
Volume33Issue:3Pages:207-220
SubtypeArticle
AbstractFuzzy vault is a practical and promising scheme, which can protect biometric templates and perform secure key management simultaneously. Alignment of the template biometric sample and the query one in the encrypted domain remains a challenging task. While implementing fuzzy fingerprint vault, the accuracy of alignment in encrypted domain cannot be ensured and the information leakage may be caused because of the alignment. In this paper, an alignment-free fingerprint cryptosystem based on fuzzy vault scheme is developed fusing the local features, known minutia descriptor and minutia local structure, which are invariant to the transformation in fingerprint capturing. Three fusion strategies are employed to integrate the two local features. Huffman coding technology is used to compress the storage volume of the minutia descriptor vault. The proposed fingerprint cryptosystem can avoid the alignment procedure and improve the performance and security of the fuzzy vault scheme at the same time. Experiments on FVC2002-DB2a and FVC2002-DB1a are conducted to show the promising performance of the proposed fingerprint cryptosystem. Security level of proposed cryptosystem will not decrease and even rise in some circumstances. The best trade-off results obtained is GAR=92% (FAR=0), under the 53-bit security. Despite the larger template storage expense, the proposed alignment-free fingerprint cryptosystem outperforms the minutiae-based fingerprint cryptosystems with alignment in the terms of accuracy and security. (C) 2009 Elsevier Ltd. All rights reserved.
KeywordFingerprint Cryptosystem Fuzzy Fingerprint Vault Alignment-free Minutia Descriptor Minutia Local Structure Security
WOS HeadingsScience & Technology ; Technology
WOS KeywordRECOGNITION ; BIOMETRICS ; TEMPLATES ; SYSTEM
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Computer Science, Software Engineering
WOS IDWOS:000278161500002
Citation statistics
Cited Times:48[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3915
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.Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, 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,Cao, Kai,et al. An alignment-free fingerprint cryptosystem based on fuzzy vault scheme[J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS,2010,33(3):207-220.
APA Li, Peng,Yang, Xin,Cao, Kai,Tao, Xunqiang,Wang, Ruifang,&Tian, Jie.(2010).An alignment-free fingerprint cryptosystem based on fuzzy vault scheme.JOURNAL OF NETWORK AND COMPUTER APPLICATIONS,33(3),207-220.
MLA Li, Peng,et al."An alignment-free fingerprint cryptosystem based on fuzzy vault scheme".JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 33.3(2010):207-220.
Files in This Item: Download All
File Name/Size DocType Version Access License
171.Journal of Netwo(2460KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Peng]'s Articles
[Yang, Xin]'s Articles
[Cao, Kai]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Peng]'s Articles
[Yang, Xin]'s Articles
[Cao, Kai]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Peng]'s Articles
[Yang, Xin]'s Articles
[Cao, Kai]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 171.Journal of Network and Computer Applications(2010).pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.