The computational workload is one of the key challenges in biometric identification systems.
The naïve retrieval method based on an exhaustive search becomes impractical with the …

Vein pattern-based methods powerfully boost the recognition accuracy of finger veins, but
real-time recognition cannot be guaranteed, especially in large-scale applications …

Cancelable biometric schemes have been widely studied to protect templates in biometric
authentication over networks. These schemes transform biometric features and perform …

Biometric data stored in automated recognition systems are at risk of attacks. This is
particularly true for large-scale biometric identification systems, where the reference …

The finger vein recognition system has the advantages of high efficiency, stability, hidden,
etc. So it has become a new frontier topic in the generation biometric technology. This paper …

High dimensional real-valued features have been shown to be effective for finger vein
identification, but result in high computational cost especially in a large-scale finger vein …

Biometrics, which is defined as the automated recognition of individuals based on their
behavioural and biological characteristics, can be applied to increase the trust and usability …

Efficient identification of finger veins is still a challenging problem due to the increasing size
of the finger vein database. Most leading finger vein image identification methods have high …

Although some image retrieval methods were proposed to accelerate finger vein
recognition, the insufficient feature (eg, the number of vein point) and unfavorable encoding …

Many related studies have reported promising results in finger vein recognition, but it is still
challenging to perform robust image retrieval, especially in the application scenarios with …