Computation of cryptographic keys from face biometrics

We outline cryptographic key-computation from biometric data based on error-tolerant transformation of continuous-valued face eigenprojections to zero-error bitstrings suitable for cryptographic applicability. Biohashing is based on iterated inner-products between pseudorandom and user-specific eige...

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Main Authors: Goh,, A, Ngo,, DCL
Format: Article
Published: 2003
Subjects:
Online Access:http://shdl.mmu.edu.my/2599/
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author Goh,, A
Ngo,, DCL
author_facet Goh,, A
Ngo,, DCL
author_sort Goh,, A
building MMU Institutional Repository
collection Online Access
description We outline cryptographic key-computation from biometric data based on error-tolerant transformation of continuous-valued face eigenprojections to zero-error bitstrings suitable for cryptographic applicability. Biohashing is based on iterated inner-products between pseudorandom and user-specific eigenprojections, each of which extracts a single-bit from the face data. This discretisation is highly tolerant of data capture offsets, with same-user face data resulting in highly correlated bitstrings. The resultant user identification in terms of a small bitstring-set is then securely reduced to a single cryptographic key via Shamir secret-sharing. Generation of the pseudorandom eigenprojection sequence can be securely parameterised via incorporation of physical tokens. Tokenised bio-hashing is rigorously protective of the face data, with security comparable to cryptographic hashing of token and knowledge key-factors. Our methodology has several major advantages over conventional biometric analysis ie elimination of false accepts (FA) without unacceptable compromise in terms of more probable false rejects (FR), straightforward key-management, and cryptographically rigorous commitment of biometric data in conjunction with verification thereof.
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spelling mmu-25992011-08-24T00:09:24Z http://shdl.mmu.edu.my/2599/ Computation of cryptographic keys from face biometrics Goh,, A Ngo,, DCL QA75.5-76.95 Electronic computers. Computer science We outline cryptographic key-computation from biometric data based on error-tolerant transformation of continuous-valued face eigenprojections to zero-error bitstrings suitable for cryptographic applicability. Biohashing is based on iterated inner-products between pseudorandom and user-specific eigenprojections, each of which extracts a single-bit from the face data. This discretisation is highly tolerant of data capture offsets, with same-user face data resulting in highly correlated bitstrings. The resultant user identification in terms of a small bitstring-set is then securely reduced to a single cryptographic key via Shamir secret-sharing. Generation of the pseudorandom eigenprojection sequence can be securely parameterised via incorporation of physical tokens. Tokenised bio-hashing is rigorously protective of the face data, with security comparable to cryptographic hashing of token and knowledge key-factors. Our methodology has several major advantages over conventional biometric analysis ie elimination of false accepts (FA) without unacceptable compromise in terms of more probable false rejects (FR), straightforward key-management, and cryptographically rigorous commitment of biometric data in conjunction with verification thereof. 2003 Article NonPeerReviewed Goh,, A and Ngo,, DCL (2003) Computation of cryptographic keys from face biometrics. COMMUNICATIONS AND MULTIMEDIA SECURITY, 2828 . pp. 1-13. ISSN 0302-9743
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Goh,, A
Ngo,, DCL
Computation of cryptographic keys from face biometrics
title Computation of cryptographic keys from face biometrics
title_full Computation of cryptographic keys from face biometrics
title_fullStr Computation of cryptographic keys from face biometrics
title_full_unstemmed Computation of cryptographic keys from face biometrics
title_short Computation of cryptographic keys from face biometrics
title_sort computation of cryptographic keys from face biometrics
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2599/