Mathematical formulation for the secure discretisation of continuously variable biometrics

This paper proposes the mathematical formulation for the secure discretisation of continuously variable biometrics. The secure discretisation of biometric data is based on error-tolerant transformation of continuous-valued representations. Bio-hashes are computed from iterated inner products between biometric and pseudorandom signals. The pseudorandom input is securely derived from token serialisations, resulting in token-and biometric bitstrings. It also has several major advantages: elimination of false accepts (FA) without unacceptable compromise in terms of more probable false rejects (FR), straightforward key-management, and versatile applicability (via cryptographic protocols) in various transaction scenarios.