An effective biometric cryptosystem combining fingerprints with error correction codes
文献类型：期刊论文
| 作者 | Li, Peng1; Yang, Xin1 ; Qiao, Hua2; Cao, Kai3; Liu, Eryun3; Tian, Jie1,3
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| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2012-06-01 |
| 卷号 | 39期号:7页码:6562-6574 |
| 关键词 | Minutia triplet Binary length-fixed feature Biometric cryptosystem Fuzzy commitment scheme ECC Security |
| 英文摘要 | With 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science |
| 研究领域[WOS] | Computer Science ; Engineering ; Operations Research & Management Science |
| 关键词[WOS] | FUZZY VAULT ; TEMPLATES ; SECURE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000301025300030 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4055]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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