As a new research focus in biometrics, palm vein recognition has attracted people's attention
because of high security, liveness‐detection, user acceptability and convenience. Palm vein …

The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

Finger vein recognition has drawn increasing attention as one of the most popular and
promising biometrics due to its high distinguishes ability, security and non-invasive …

Biometric systems have been actively emerging in various industries in the past few years
and continue to provide higher-security features for access control systems. Many types of …

Numerous behavioral or physiological biometric traits, including iris, signature, hand
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …

Designing an end-to-end deep learning network to match the biometric features with limited
training samples is an extremely challenging task. To address this problem, we propose a …

It is a difficult task to extract vein features accurately since the finger-vein images captured
by near infrared light are always poor in quality. This paper proposes a novel finger vein …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

The use of human biometrics is becoming widespread and its major application is human
recognition for controlling unauthorized access to both digital services and physical …

Biometric system has been widely adopted for human verification or identification, so
inherently it requires the characteristics like high security, accuracy and acceptability …