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An improved BioHashing for human authentication (2006)
| Venue: | Pattern Recognition |
| Citations: | 24 - 0 self |
BibTeX
@ARTICLE{Lumini06animproved,
author = {Ra Lumini and Loris Nanni},
title = {An improved BioHashing for human authentication},
journal = {Pattern Recognition},
year = {2006},
volume = {40},
pages = {1057--1065}
}
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Abstract
www.elsevier.com/locate/pr Given the recent explosion of interest in human authentication, verification based on tokenized pseudo-random numbers and the user specific biometric feature (BioHashing) has received much attention. These methods have significant functional advantages over sole biometrics i.e. zero equal error rate. The main drawback of the base BioHashing method 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 introduce some ideas to improve the base BioHashing approach in order to maintain a very low equal error rate when nobody steals the Hash key, and to reach good performance also when an “impostor ” steals the Hash key.
Keyphrases
human authentication improved biohashing hash key good performance significant functional advantage tokenized pseudo-random number sole biometrics base biohashing method base biohashing approach com locate pr given equal error rate pseudo-random number recent explosion much attention low equal error rate main drawback user specific biometric feature low performance
