Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs

By Andrew Beng Jin Teoh, Alwyn Goh, David Chek Ling Ngo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006

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Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model (2010, unknown): “Another interesting research against photo spoof is to use a user-specific key to generate a random matrix to distort the face template, so that a ”stolen” face image without the key will be almost of no use [3].”
Biometric Template Protection: Bridging the performance gap between theory and practice (2015, background): “Techniques that can generate non-invertible templates without the need for any secrets (e.g. [8]) are sometimes referred to as keyless biometric template protection schemes.”
Biometric Template Security (2008, methodology): “In cases where the impostor does know (or guesses) the true key, the performance of the system is close to the case when no RMQ technique is applied.”
A survey on biometric cryptosystems and cancelable biometrics (2011, background): “[47], [92], [93], [94].”
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations (2011, background): “See [6], [24], [25], [26], [27], [28], and the references therein for more details.”