A practical implementation of fuzzy fingerprint vault for smart cards

  • Authors:
  • Daesung Moon;Yongwha Chung;Changho Seo;Sung-Young Kim;Jeong-Nyeo Kim

  • Affiliations:
  • Human Identification Research Team, ETRI, Yuseong-gu, Daejeon, Korea 305-350;Department of Computer & Information Science, Korea University, Chochiwon, Chungnam, Korea 339-700;Department of Applied Mathematics, Kongju National University, Gongju-si, Chungnam, Korea 314-701;Department of Computer Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk, Korea;Human Identification Research Team, ETRI, Yuseong-gu, Daejeon, Korea 305-350

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2014

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Abstract

Biometric-based authentication can provide strong security guarantee about the identity of users. However, security of biometric data is particularly important as the compromise of the data will be permanent. To protect the biometric data, we need to store it in a non-invertible transformed version. Thus, even if the transformed version is compromised, the actual biometric data remain safe. Fuzzy vault is a cryptographic construct to secure critical data with the fingerprint data. In this paper, we implement the fuzzy fingerprint vault, combining fingerprint verification and fuzzy vault scheme to protect fingerprint templates, for the smart card environment. To implement the fuzzy fingerprint vault as a complete system, we have to consider several practical issues such as automatic fingerprint alignment, verification accuracy, template size for storing in the smart card, execution time, error correcting code, etc. Especially, we handled the fingerprints having a few minutiae by applying an adaptive degree of the polynomial, and thus our implementation result can be used for real, large-scale applications.