IMPLEMENTATION OF AUTOMATIC FUZZY FINGERPRINT VAULT
Biometric-based authentication can provide strong security guarantee about the identity of users. However, security of biomctric data is particularly important as the compromise of the data will be permanent. To protect the biomctric data, we need to store it in a non-invertible transformed version. Thus, even if the transformed version is compromised, the actual biomctric data remains safe. In this paper, we implement the fuzzy fingerprint vault system combining fingerprint verification and fuzzy vault scheme to protect fingerprint templates. Fuzzy vault is a recently developed cryptographic construct to secure critical data with the fingerprint data in a way that only the authorized user can access the secret by providing the valid fingerprint. However, all the previous results assumed that fingerprint features were pre-aligned. To solve this problem, we perform the automatic alignment of fingerprint features by using the geometric hashing technique. Also, we implement a new RS decoding algorithm based on the Extended Euclidean algorithm proposed by Gao. Based on the experimental results, we confirm that the proposed approach can align fingerprint features automatically in the domain of the fuzzy vault and perform fingerprint verification with the protected template in real-time.
Crypto-Biometric Fuzzy Vault Fingerprint Template Protection Geometric Hashing
DAESUNG MOON SUNGJU LEE YONGWHA CHUNG SUNG BUM PAN KIYOUNG MOON
Biometrics Technology Research Team, ETRI, 161, Gajeong-dong, Yuseong-gu, Daejeon, Korea Department of Computer & Information Science, Korea University, Chochiwon, Chungnam, Korea Department of Information Control & Instrumentation Engineering, Chosun University, Dong-gu, Gwangju
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
3781-3786
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）