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...

• Type: Conference
• Year: 2003
• Where: CMS
• Authors: Alwyn Goh, David Ngo Chek Ling
• Keywords: Biometric Data, CMS 2003, CMS 2010, Cryptographic, Face Data