Methods of automatic alignment of fingerprint in fuzzy vault: A review

Sood, Parul; Kaur, Manvjeet

doi:10.1109/raecs.2014.6799559

Cited by 10 publications

(1 citation statement)

References 13 publications

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“…This approach has good recognition accuracy (GAR of 86.03% and FAR of 0.39%) and does not require the alignment of reference and query templates during authentication. Recent works focus on the development of new methods of alignments for fingerprint-based fuzzy vaults [63] as well as the use of circle packing [64] and squares method [65] techniques to provide fast and less complex chaff-point generation. These approaches lead to a reduction in the amount of time required for enrolment and authentication.…”

Section: Fuzzy Vaultmentioning

confidence: 99%

State of the Art in Biometric Key Binding and Key Generation Schemes

Jegede

Udzir

Abdullah

et al. 2022

Int. j. commun. netw. inf. secur.

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Direct storage of biometric templates in databases exposes the authentication system and legitimate users to numerous security and privacy challenges. Biometric cryptosystems or template protection schemes are used to overcome the security and privacy challenges associated with the use of biometrics as a means of authentication. This paper presents a review of previous works in biometric key binding and key generation schemes. The review focuses on key binding techniques such as biometric encryption, fuzzy commitment scheme, fuzzy vault and shielding function. Two categories of key generation schemes considered are private template and quantization schemes. The paper also discusses the modes of operations, strengths and weaknesses of various kinds of key-based template protection schemes. The goal is to provide the reader with a clear understanding of the current and emerging trends in key-based biometric cryptosystems.

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Section: Fuzzy Vaultmentioning

confidence: 99%