… with two input factors ie, biometrics and a token used in template replacement. However, the
… a tokenless cancellable biometrics scheme called Multimodal Extended Feature Vector (M∙…

… Consequently, random number generators (RNG) must have low … : (1) cancelable biometrics
with techniques such as … deep learning algorithms in the feature extraction and decision-…

… state-of-theart algorithms on cancelable biometrics. First, the … universal algorithm in the
cancelable biometrics field. The bloom … featuring fingerprint data and tokenised random number,” …

… Using a user-specific Tokenized Random Number (TRN), n orthogonal pseudo-… key and
the Biometrics feature. Even if the key is disclosed, the Biometrics feature would not be revealed. …

… This paper presents a random projection scheme for cancelable iris recognition. … cancelable
templates. They employed secret random numbers to pattern the original biometric features …

… print feature vector is then subjected to cancellable transformation. … both cancellable
biometrics (or specifically cancellable … level determined by a tokenized pseudo-random number. …

… as a password and a token for authentication, the biometric-… vectorial biometrics, usually in
the form of feature vectors, into … -specific seeded pseudo-random number generator (PRNG). …

… Cancelable biometrics refer to the transformation of the … password and user-specific random
number). If the underlying … due to the simplicity in feature representation and benefits in …

… direction in the field of cancelable biometrics, in this survey, … the biometric feature with the
random number to generate … is the result of using tokenized random numbers (TRN) or the …

… We offer a practical application using voice biometrics by means of … Furthermore, they cannot
be lost (as a token can be). … User A produces a random number a by calculating f a ∈ G , …