[1]WANG Kejun,CAO Yi,XING Xianglei.Finger-vein encryption algorithm based on MB-CSLBP[J].CAAI Transactions on Intelligent Systems,2018,13(4):543-549.[doi:10.11992/tis.201704034]
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Finger-vein encryption algorithm based on MB-CSLBP

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 13 Number of periods: 2018 4 Page number: 543-549 Column: 学术论文—机器学习 Public date: 2018-07-05
Title:
Finger-vein encryption algorithm based on MB-CSLBP
Author(s):
WANG Kejun;  CAO Yi;  XING Xianglei
College of Automation, Harbin Engineering University, Harbin 150001, China
Keywords:
biometric encryption; finger vein; fuzzy commitment; MB-CSLBP codes; fuzzy vault
CLC:
TP391.41
DOI:
10.11992/tis.201704034
Abstract:
In this paper, we investigate and discuss the biometric encryption of the finger vein to address the limitations of traditional biometric encryption. We propose a finger-vein encryption scheme based on multiscale block–center-symmetric local binary pattern (MB-CSLBP) binary coding. First, we investigate the LBP operator, the improved CSLBP, and the MB-CSLBP operator, and extract the MB-CSLBP binary code of the finger vein. Next, we investigate the traditional fuzzy commitment encryption scheme, and, with the extracted finger-vein MB-CSLBP binary codes as the encryption feature, we perform Bose, Chaudhuri, and Hocquenghem (BCH) encoding of the encryption information. Then, we combine the encryption information and encryption feature in an exclusive-OR manner, use the SHA-1 hash algorithm to perform a Hash transform, and keep the obtained Hash value for encryption. The experimental results show that the false acceptance rate reached 0.47% for a key length of 400 b. Thus, the finger-vein encryption method proposed in this paper demonstrates high robustness and security.
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