Biometric feature-type transformation: Making templates compatible for secret protection

Menghui Lim; Andrew Beng Jin Teoh; Jaihie Kim

doi:10.1109/MSP.2015.2423693

Biometric feature-type transformation: Making templates compatible for secret protection

Menghui Lim, Andrew Beng Jin Teoh, Jaihie Kim

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

37 Citations (Scopus)

Abstract

Biometrics refers to physiological (i.e., face, fingerprint, hand geometry, etc.) and behavioral (i.e., speech, signature, keystroke, etc.) traits of a human identity. As these traits are unique to individuals, biometrics can be used to identify users reliably in many authentication applications, such as access control and e-commerce. Most biometric authentication systems offer great convenience without requiring the users to possess or remember any secret credentials. For applications that demand greater security, biometrics can be used in complement with passwords and security tokens to offer a multifactor authentication.

Original language	English
Article number	7192822
Pages (from-to)	77-87
Number of pages	11
Journal	IEEE Signal Processing Magazine
Volume	32
Issue number	5
DOIs	https://doi.org/10.1109/MSP.2015.2423693
Publication status	Published - 1 Sept 2015

Scopus Subject Areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2015.2423693

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Biometric feature-type transformation: Making templates compatible for secret protection

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