A more robust and accurate multilingual biological structure in expressing human loneliness requires a different format to record clients with inseparable comparisons from individual biographical sources.
MBFH is a typical model security conspire that is distinguished in the utilization of this protection insurance framework in numerous sorts of biometric feature strategies (retina, palm print, Hand Dorsum, fingerprint). The MBFH strategy is utilized to actualize a single direction (non-invertibility) biometric shape. In this paper, a novel cancellable biometrics technique called Multi-Biometric-Feature-Hashing (MBFH) is proposed. The experiments demonstrate that this approach is practical with a little better error rate in comparison with the original biometric feature. Their transformation is not only simpler but also suitable for many kinds of biometrics modalities. In this research, the authors introduce a periodic transformation attached to fuzzy vault to produce the new cancellable scheme. However, the computational cost of these proposals was quite large. Some techniques were introduced to transform the original biometric feature to cancellable one. Furthermore, most of the fuzzy vault schemes are performed on two biometrics modalities: fingerprints and iris. Unfortunately, the major drawback of this approach is the lacking of cancellable property.
Fuzzy vault is one of the most popular methods for biometric template security, which binds a secret key with biometric features and produces one kind of data, called the helper data, for recovering the secret key. To overcome these issues, some significant techniques have been proposed such as biometric template protection, reducing biometric extraction noise etc. However, the end-users may feel uncomfortable to deploy this technology because of not well-solved accurate rate and security problems. Nowadays, biometrics-based authentication is playing a potential approach for many modern applications such as banking, homeland security etc.
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