Cancelable biometrics realization with multispace random projections

Andrew Beng Jin Teoh; Chong Tze Yuang

doi:10.1109/TSMCB.2007.903538

Cancelable biometrics realization with multispace random projections

Andrew Beng Jin Teoh, Chong Tze Yuang

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

135 Citations (Scopus)

Abstract

Biometric characteristics cannot be changed; therefore, the loss of privacy is permanent if they are ever compromised. This paper presents a two-factor cancelable formulation, where the biometric data are distorted in a revocable but nonreversible manner by first transforming the raw biometric data into a fixed-length feature vector and then projecting the feature vector onto a sequence of random subspaces that were derived from a user-specific pseudorandom number (PRN). This process is revocable and makes replacing biometrics as easy as replacing PRNs. The formulation has been verified under a number of scenarios (normal, stolen PRN, and compromised biometrics scenarios) using 2400 Facial Recognition Technology face images. The diversity property is also examined.

Original language	English
Pages (from-to)	1096-1106
Number of pages	11
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	37
Issue number	5
DOIs	https://doi.org/10.1109/TSMCB.2007.903538
Publication status	Published - 2007 Oct

Bibliographical note

Funding Information:
Manuscript received April 29, 2006. This work was supported by the Korea Science and Engineering Foundation through the Biometrics Engineering Research Center, Yonsei University. This paper was recommended by Guest Editors V. Govindaraju and N. Ratha.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TSMCB.2007.903538

Cite this

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Cancelable biometrics realization with multispace random projections

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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