Computation of Cryptographic Keys from Face Biometrics

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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 userspecific 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...
Alwyn Goh, David Ngo Chek Ling
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where CMS
Authors Alwyn Goh, David Ngo Chek Ling
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