A simple unpredictable pseudo random number generator
SIAM Journal on Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cancellable biometerics featuring with tokenised random number
Pattern Recognition Letters
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A novel local on-line signature verification system
Pattern Recognition Letters
Over-complete feature generation and feature selection for biometry
Expert Systems with Applications: An International Journal
Minutiae and modified Biocode fusion for fingerprint-based key generation
Journal of Network and Computer Applications
Interacting with Computers
PalmHash Code vs. PalmPhasor Code
Neurocomputing
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Given the recent explosion of interest in human authentication, verification based on tokenised pseudo-random numbers and the user specific biometric feature has received much attention. These methods have significant functional advantages over solely biometrics i.e. zero equal error rate (EER). The main drawback of the methods proposed in the literature relies in exhibiting low performance when an ''impostor''B steals the pseudo-random numbers of A and he tries to authenticate as A. In this paper, we show that a fusion among on-line signature matchers, where only half the matchers use biometric characteristics combined with the pseudo-random numbers, permits to obtain a very low EER when nobody steals the pseudo-random numbers, and good performance when an ''impostor''B steals the pseudo-random numbers of A and he tries to authenticate as A.